Updated: 2022-04-10 / Tips：English projects refer to those with documents in English, usually displayed in the readme / wiki / official website.
| # | Repository | Description | Stars | Updated |
|---|---|---|---|---|
| 1 | aymericdamien/TensorFlow-Examples | TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | 41834 | 2022-01-04 |
| 2 | jakevdp/PythonDataScienceHandbook | Python Data Science Handbook: full text in Jupyter Notebooks | 34028 | 2022-04-03 |
| 3 | microsoft/ML-For-Beginners | 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all | 30209 | 2022-04-07 |
| 4 | GokuMohandas/MadeWithML | Learn how to responsibly deliver value with ML. | 29859 | 2022-04-08 |
| 5 | ageron/handson-ml | A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow. | 24239 | 2022-03-11 |
| 6 | ageron/handson-ml2 | A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. | 20173 | 2022-03-31 |
| 7 | Pierian-Data/Complete-Python-3-Bootcamp | Course Files for Complete Python 3 Bootcamp Course on Udemy | 19804 | 2022-04-06 |
| 8 | trekhleb/homemade-machine-learning | 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained | 19134 | 2022-03-12 |
| 9 | dennybritz/reinforcement-learning | Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course. | 17786 | 2021-10-29 |
| 10 | wesm/pydata-book | Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media | 16911 | 2022-04-03 |
| 11 | spmallick/learnopencv | Learn OpenCV : C++ and Python Examples | 16033 | 2022-04-05 |
| 12 | fchollet/deep-learning-with-python-notebooks | Jupyter notebooks for the code samples of the book "Deep Learning with Python" | 15110 | 2022-02-10 |
| 13 | rasbt/deeplearning-models | A collection of various deep learning architectures, models, and tips | 14945 | 2022-03-29 |
| 14 | fastai/fastbook | The fastai book, published as Jupyter Notebooks | 14643 | 2022-04-06 |
| 15 | virgili0/Virgilio | Your new Mentor for Data Science E-Learning. | 13276 | 2022-02-12 |
| 16 | leandromoreira/digital_video_introduction | A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). | 12537 | 2021-11-24 |
| 17 | rlabbe/Kalman-and-Bayesian-Filters-in-Python | Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters ... | 11733 | 2022-03-03 |
| 18 | microsoft/Data-Science-For-Beginners | 10 Weeks, 20 Lessons, Data Science for All! | 10022 | 2022-04-01 |
| 19 | mml-book/mml-book.github.io | Companion webpage to the book "Mathematics For Machine Learning" | 9822 | 2022-02-03 |
| 20 | google/dopamine | Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. | 9765 | 2022-03-21 |
| 21 | jupyter/notebook | Jupyter Interactive Notebook | 8940 | 2022-04-09 |
| 22 | yandexdataschool/nlp_course | YSDA course in Natural Language Processing | 7803 | 2021-12-24 |
| 23 | AkashSingh3031/The-Complete-FAANG-Preparation | This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview q ... | 7424 | 2022-04-02 |
| 24 | microsoft/c9-python-getting-started | Sample code for Channel 9 Python for Beginners course | 7363 | 2022-01-23 |
| 25 | DmitryUlyanov/deep-image-prior | Image restoration with neural networks but without learning. | 7124 | 2022-01-05 |
| 26 | aws/amazon-sagemaker-examples | Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker. | 6751 | 2022-04-09 |
| 27 | labmlai/annotated_deep_learning_paper_implementations | 🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan ... | 6503 | 2022-04-09 |
| 28 | amueller/introduction_to_ml_with_python | Notebooks and code for the book "Introduction to Machine Learning with Python" | 6035 | 2022-03-31 |
| 29 | tensorflow/examples | TensorFlow examples | 6022 | 2022-04-06 |
| 30 | nfmcclure/tensorflow_cookbook | Code for Tensorflow Machine Learning Cookbook | 6015 | 2022-03-11 |
| 31 | GoogleCloudPlatform/training-data-analyst | Labs and demos for courses for GCP Training (http://cloud.google.com/training). | 5952 | 2022-04-09 |
| 32 | mozilla/TTS | 🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) | 5802 | 2022-04-01 |
| 33 | lmoroney/dlaicourse | Notebooks for learning deep learning | 5444 | 2022-03-12 |
| 34 | dibgerge/ml-coursera-python-assignments | Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions. | 4940 | 2022-03-31 |
| 35 | yandexdataschool/Practical_RL | A course in reinforcement learning in the wild | 4886 | 2022-04-07 |
| 36 | codebasics/py | Repository to store sample python programs for python learning | 4683 | 2022-03-05 |
| 37 | probml/pyprobml | Python code for "Probabilistic Machine learning" book by Kevin Murphy | 4644 | 2022-04-07 |
| 38 | onnx/models | A collection of pre-trained, state-of-the-art models in the ONNX format | 4596 | 2022-03-28 |
| 39 | udacity/deep-learning-v2-pytorch | Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 | 4575 | 2022-03-30 |
| 40 | skorch-dev/skorch | A scikit-learn compatible neural network library that wraps PyTorch | 4438 | 2022-04-03 |
| 41 | polynote/polynote | A better notebook for Scala (and more) | 4289 | 2022-04-08 |
| 42 | hunkim/DeepLearningZeroToAll | TensorFlow Basic Tutorial Labs | 4282 | 2021-10-14 |
| 43 | christophM/interpretable-ml-book | Book about interpretable machine learning | 4079 | 2022-03-29 |
| 44 | microsoft/QuantumKatas | Tutorials and programming exercises for learning Q# and quantum computing | 3856 | 2022-04-09 |
| 45 | zotroneneis/machine_learning_basics | Plain python implementations of basic machine learning algorithms | 3655 | 2021-12-03 |
| 46 | REMitchell/python-scraping | Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do | 3650 | 2022-02-15 |
| 47 | realpython/materials | Bonus materials, exercises, and example projects for our Python tutorials | 3539 | 2022-04-05 |
| 48 | DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 3498 | 2022-04-04 |
| 49 | susanli2016/Machine-Learning-with-Python | Python code for common Machine Learning Algorithms | 3480 | 2022-01-17 |
| 50 | justmarkham/scikit-learn-videos | Jupyter notebooks from the scikit-learn video series | 3342 | 2021-11-07 |
| 51 | fastai/nbdev | Create delightful python projects using Jupyter Notebooks | 3194 | 2022-03-31 |
| 52 | fastai/fastpages | An easy to use blogging platform, with enhanced support for Jupyter Notebooks. | 3124 | 2022-03-28 |
| 53 | rasbt/python-machine-learning-book-3rd-edition | The "Python Machine Learning (3rd edition)" book code repository | 3104 | 2022-03-29 |
| 54 | jakevdp/WhirlwindTourOfPython | The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python" | 3104 | 2021-12-05 |
| 55 | fastai/course-nlp | A Code-First Introduction to NLP course | 3096 | 2022-04-08 |
| 56 | probml/pml-book | "Probabilistic Machine Learning" - a book series by Kevin Murphy | 3037 | 2022-04-04 |
| 57 | Azure/MachineLearningNotebooks | Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK Microsoft | 2934 | 2022-04-04 |
| 58 | google-research/simclr | SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners | 2925 | 2022-03-05 |
| 59 | suragnair/alpha-zero-general | A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more | 2749 | 2021-12-05 |
| 60 | onnx/tutorials | Tutorials for creating and using ONNX models | 2604 | 2022-04-08 |
| 61 | facebookresearch/vissl | VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images. | 2552 | 2022-04-08 |
| 62 | elastic/examples | Home for Elasticsearch examples available to everyone. It's a great way to get started. | 2485 | 2022-04-06 |
| 63 | khuyentran1401/Data-science | Collection of useful data science topics along with code and articles | 2402 | 2022-04-08 |
| 64 | mrdbourke/tensorflow-deep-learning | All course materials for the Zero to Mastery Deep Learning with TensorFlow course. | 2334 | 2022-03-14 |
| 65 | tirthajyoti/Machine-Learning-with-Python | Practice and tutorial-style notebooks covering wide variety of machine learning techniques | 2314 | 2022-01-26 |
| 66 | susanli2016/NLP-with-Python | Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more | 2281 | 2021-11-21 |
| 67 | microsoft/AcademicContent | Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons. | 2269 | 2022-04-08 |
| 68 | Nyandwi/machine_learning_complete | A comprehensive repository containing 30+ notebooks on learning machine learning! | 2235 | 2022-04-09 |
| 69 | bencbartlett/3D-printed-mirror-array | 3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns | 2208 | 2022-01-03 |
| 70 | BlockchainCommons/Learning-Bitcoin-from-the-Command-Line | A complete course for learning Bitcoin programming and usage from the command | 2201 | 2022-02-03 |
| 71 | NeuromatchAcademy/course-content | NMA Computational Neuroscience course | 2151 | 2022-04-08 |
| 72 | jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews | Files for Udemy Course on Algorithms and Data Structures | 2008 | 2022-03-17 |
| 73 | wilfredinni/python-cheatsheet | Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook) | 1888 | 2022-02-10 |
| 74 | Qiskit/qiskit-tutorials | A collection of Jupyter notebooks showing how to use the Qiskit SDK | 1886 | 2022-04-08 |
| 75 | ageron/tf2_course | Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course | 1841 | 2022-03-11 |
| 76 | khanhnamle1994/cracking-the-data-science-interview | A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep | 1826 | 2021-12-04 |
| 77 | sachinruk/deepschool.io | Deep Learning tutorials in jupyter notebooks. | 1787 | 2022-02-09 |
| 78 | lukas/ml-class | Machine learning lessons and teaching projects designed for engineers | 1776 | 2022-02-14 |
| 79 | alexeygrigorev/mlbookcamp-code | The code from the Machine Learning Bookcamp book and a free course based on the book | 1746 | 2022-03-29 |
| 80 | talkpython/100daysofcode-with-python-course | Course materials and handouts for #100DaysOfCode in Python course | 1718 | 2022-03-29 |
| 81 | tinghuiz/SfMLearner | An unsupervised learning framework for depth and ego-motion estimation from monocular videos | 1710 | 2021-10-26 |
| 82 | dask/dask-tutorial | Dask tutorial | 1660 | 2022-01-14 |
| 83 | MacroAnalyst/Linear_Algebra_With_Python | Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative s ... | 1658 | 2022-03-23 |
| 84 | github/CodeSearchNet | Datasets, tools, and benchmarks for representation learning of code. | 1600 | 2022-01-31 |
| 85 | Alro10/deep-learning-time-series | List of papers, code and experiments using deep learning for time series forecasting | 1591 | 2022-02-27 |
| 86 | bioinf-jku/SNNs | Tutorials and implementations for "Self-normalizing networks" | 1540 | 2022-01-21 |
| 87 | MIT-LCP/mimic-code | MIMIC Code Repository: Code shared by the research community for the MIMIC-III database | 1534 | 2022-04-07 |
| 88 | nickmccullum/algorithmic-trading-python | The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python | 1530 | 2022-03-30 |
| 89 | mitmath/1806 | 18.06 course at MIT | 1486 | 2022-04-09 |
| 90 | justmarkham/scikit-learn-tips | 🤖⚡ 50 scikit-learn tips | 1480 | 2021-11-03 |
| 91 | nlp-with-transformers/notebooks | Jupyter notebooks for the Natural Language Processing with Transformers book | 1386 | 2022-04-05 |
| 92 | h2oai/h2o-tutorials | Tutorials and training material for the H2O Machine Learning Platform | 1380 | 2022-04-08 |
| 93 | jalammar/ecco | Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT ... | 1372 | 2022-03-27 |
| 94 | sthalles/SimCLR | PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations | 1340 | 2022-01-21 |
| 95 | m2dsupsdlclass/lectures-labs | Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris | 1287 | 2022-03-25 |
| 96 | edyoda/data-science-complete-tutorial | For extensive instructor led learning | 1283 | 2022-01-23 |
| 97 | cerlymarco/MEDIUM_NoteBook | Repository containing notebooks of my posts on Medium | 1265 | 2022-03-23 |
| 98 | Curt-Park/rainbow-is-all-you-need | Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow | 1246 | 2022-01-13 |
| 99 | ialhashim/DenseDepth | High Quality Monocular Depth Estimation via Transfer Learning | 1242 | 2021-12-27 |
| 100 | danielhanchen/hyperlearn | Waiting hours for a future prediction is unacceptable. Hyperlearn makes AI and ML algorithms 50% faster, use 90% less memory and doesn't require you to use new hardware! ML Algorithms like PCA, Linear ... | 1239 | 2021-11-30 |
| 101 | gedeck/practical-statistics-for-data-scientists | Code repository for O'Reilly book | 1231 | 2022-03-11 |
| 102 | advboxes/AdvBox | Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. ... | 1223 | 2022-03-11 |
| 103 | BlackArbsCEO/Adv_Fin_ML_Exercises | Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado] | 1215 | 2022-04-06 |
| 104 | davidADSP/GDL_code | The official code repository for examples in the O'Reilly book 'Generative Deep Learning' | 1209 | 2022-01-24 |
| 105 | mrdbourke/zero-to-mastery-ml | All course materials for the Zero to Mastery Machine Learning and Data Science course. | 1166 | 2022-03-20 |
| 106 | ZoranPandovski/al-go-rithms | 🎵 Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/ | 1165 | 2022-01-31 |
| 107 | yandexdataschool/Practical_DL | DL course co-developed by YSDA, HSE and Skoltech | 1149 | 2022-02-17 |
| 108 | gboeing/ppd599 | USC urban data science course series with Python and Jupyter | 1134 | 2021-10-18 |
| 109 | luwill/Machine_Learning_Code_Implementation | Mathematical derivation and pure Python code implementation of machine learning algorithms. | 1079 | 2022-04-06 |
| 110 | uwdata/visualization-curriculum | A data visualization curriculum of interactive notebooks. | 1075 | 2022-02-16 |
| 111 | hse-aml/natural-language-processing | Resources for "Natural Language Processing" Coursera course. | 1068 | 2022-04-06 |
| 112 | firmai/awesome-google-colab | Google Colaboratory Notebooks and Repositories (by @firmai) | 1067 | 2022-03-10 |
| 113 | MicrosoftDocs/ml-basics | Exercise notebooks for Machine Learning modules on Microsoft Learn | 1053 | 2022-03-25 |
| 114 | amanchadha/coursera-deep-learning-specialization | Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur ... | 1042 | 2022-02-07 |
| 115 | chaudharyachint08/Self-Learning | Books Papers, Courses & more I have to learn soon | 1042 | 2022-01-11 |
| 116 | gboeing/osmnx-examples | Usage examples, demos, and tutorials for OSMnx. | 1036 | 2021-11-17 |
| 117 | x4nth055/pythoncode-tutorials | The Python Code Tutorials | 1033 | 2022-04-05 |
| 118 | neomatrix369/awesome-ai-ml-dl | Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics. | 1032 | 2022-04-02 |
| 119 | fastai/fastprogress | Simple and flexible progress bar for Jupyter Notebook and console | 990 | 2022-03-03 |
| 120 | carefree0910/MachineLearning | Machine learning algorithms implemented by pure numpy | 984 | 2022-03-11 |
| 121 | stevetjoa/musicinformationretrieval.com | Instructional notebooks on music information retrieval. | 980 | 2022-03-25 |
| 122 | PythonFreeCourse/Notebooks | Learn Python for free using open-source notebooks in Hebrew. | 977 | 2022-03-13 |
| 123 | mGalarnyk/Python_Tutorials | Python tutorials in both Jupyter Notebook and youtube format. | 974 | 2021-12-16 |
| 124 | JuliaAcademy/JuliaTutorials | Learn Julia via interactive tutorials! | 963 | 2021-11-19 |
| 125 | jrfiedler/causal_inference_python_code | Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins | 944 | 2022-01-08 |
| 126 | dafriedman97/mlbook | Repository for the free online book Machine Learning from Scratch (link below!) | 934 | 2021-11-15 |
| 127 | ipython/ipython-in-depth | IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012 | 919 | 2022-01-18 |
| 128 | avinashkranjan/Amazing-Python-Scripts | 🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts. | 892 | 2022-04-07 |
| 129 | tiepvupsu/ebookMLCB | ebook Machine Learning cơ bản | 858 | 2022-01-03 |
| 130 | fbaptiste/python-deepdive | Python Deep Dive Course - Accompanying Materials | 857 | 2022-04-09 |
| 131 | dennybritz/rnn-tutorial-rnnlm | Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano | 855 | 2022-04-06 |
| 132 | dssg/hitchhikers-guide | The Hitchhiker's Guide to Data Science for Social Good | 843 | 2022-02-04 |
| 133 | awslabs/ec2-spot-labs | Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances. | 842 | 2022-02-08 |
| 134 | gerdm/prml | Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop | 835 | 2022-03-14 |
| 135 | https-deeplearning-ai/machine-learning-engineering-for-production-public | Public repo for DeepLearning.AI MLEP Specialization | 804 | 2022-02-17 |
| 136 | yell/boltzmann-machines | Boltzmann Machines in TensorFlow with examples | 799 | 2021-11-05 |
| 137 | epfml/ML_course | EPFL Machine Learning Course, Fall 2021 | 798 | 2022-02-04 |
| 138 | huggingface/notebooks | Notebooks using the Hugging Face libraries 🤗 | 797 | 2022-04-08 |
| 139 | aaren/notedown | Markdown <=> IPython Notebook | 796 | 2021-10-18 |
| 140 | devAmoghS/Python-Interview-Problems-for-Practice | 120+ Common code and interview problems solved in Python (it's GROWING...) Give a Star 🌟If it helps you. Please go through the README.md before starting. | 786 | 2021-11-23 |
| 141 | dsgiitr/graph_nets | PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT. | 779 | 2022-03-26 |
| 142 | sajal2692/data-science-portfolio | Portfolio of data science projects completed by me for academic, self learning, and hobby purposes. | 776 | 2022-02-02 |
| 143 | xinychen/transdim | Machine learning for transportation data imputation and prediction. | 768 | 2022-03-21 |
| 144 | girafe-ai/ml-mipt | Open Machine Learning course at MIPT | 762 | 2022-04-09 |
| 145 | parrt/lolviz | A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations | 761 | 2022-01-12 |
| 146 | tancik/fourier-feature-networks | Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains | 756 | 2021-11-30 |
| 147 | practical-nlp/practical-nlp-code | Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media | 750 | 2022-04-06 |
| 148 | The-AI-Summer/Deep-Learning-In-Production | Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples. | 745 | 2021-11-29 |
| 149 | catboost/tutorials | CatBoost tutorials repository | 745 | 2022-04-01 |
| 150 | chiphuyen/just-pandas-things | An ongoing list of pandas quirks | 742 | 2022-02-08 |
| 151 | AIM-Harvard/pyradiomics | Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics | 728 | 2022-04-08 |
| 152 | csinva/imodels | Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). | 721 | 2022-04-08 |
| 153 | uds-se/fuzzingbook | Project page for "The Fuzzing Book" | 712 | 2022-03-31 |
| 154 | udacity/CVND_Exercises | Exercise notebooks for CVND. | 712 | 2021-11-12 |
| 155 | tuanavu/airflow-tutorial | Apache Airflow tutorial | 696 | 2022-02-25 |
| 156 | muellerzr/Practical-Deep-Learning-for-Coders-2.0 | Notebooks for the "A walk with fastai2" Study Group and Lecture Series | 682 | 2021-11-13 |
| 157 | qiskit-community/qiskit-textbook | A university quantum algorithms/computation course supplement based on Qiskit | 679 | 2022-04-08 |
| 158 | JohnSnowLabs/spark-nlp-workshop | Public runnable examples of using John Snow Labs' NLP for Apache Spark. | 676 | 2022-04-09 |
| 159 | alirezadir/machine-learning-interview-enlightener | This repo is meant to serve as a guide for Machine Learning/AI technical interviews. | 675 | 2022-01-23 |
| 160 | dvschultz/ml-art-colabs | A list of Machine Learning Art Colabs | 672 | 2022-02-21 |
| 161 | shawlu95/Beyond-LeetCode-SQL | Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided. | 663 | 2021-11-17 |
| 162 | ikatsov/tensor-house | A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain | 651 | 2022-04-05 |
| 163 | freechipsproject/chisel-bootcamp | Generator Bootcamp Material: Learn Chisel the Right Way | 634 | 2021-10-31 |
| 164 | geohot/ai-notebooks | Some ipython notebooks implementing AI algorithms | 631 | 2021-11-27 |
| 165 | Ranlot/single-parameter-fit | Real numbers, data science and chaos: How to fit any dataset with a single parameter | 629 | 2022-04-06 |
| 166 | INRIA/scikit-learn-mooc | scikit-learn-mooc | 625 | 2022-04-05 |
| 167 | InsightSoftwareConsortium/SimpleITK-Notebooks | Jupyter notebooks for learning how to use SimpleITK | 625 | 2022-03-30 |
| 168 | ipython-books/cookbook-2nd-code | Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository] | 623 | 2022-01-11 |
| 169 | williamyang1991/DualStyleGAN | [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer | 618 | 2022-03-25 |
| 170 | spatialaudio/digital-signal-processing-lecture | Digital Signal Processing - Theory and Computational Examples | 611 | 2022-02-23 |
| 171 | openvinotoolkit/openvino_notebooks | 📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓 | 598 | 2022-04-09 |
| 172 | PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition | Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt | 597 | 2022-02-10 |
| 173 | dformoso/sklearn-classification | Data Science Notebook on a Classification Task, using sklearn and Tensorflow. | 597 | 2021-12-21 |
| 174 | mitmath/julia-mit | Tutorials and information on the Julia language for MIT numerical-computation courses. | 593 | 2022-02-02 |
| 175 | Hvass-Labs/FinanceOps | Research in investment finance with Python Notebooks | 585 | 2022-02-12 |
| 176 | dataflowr/notebooks | code for deep learning courses | 577 | 2022-03-03 |
| 177 | tirthajyoti/Stats-Maths-with-Python | General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python | 573 | 2021-10-28 |
| 178 | epfml/OptML_course | EPFL Course - Optimization for Machine Learning - CS-439 | 572 | 2022-04-08 |
| 179 | darksigma/Fundamentals-of-Deep-Learning-Book | Code companion to the O'Reilly "Fundamentals of Deep Learning" book | 572 | 2022-03-08 |
| 180 | data-8/textbook | The textbook Computational and Inferential Thinking: The Foundations of Data Science | 571 | 2022-03-23 |
| 181 | Project-MONAI/tutorials | MONAI Tutorials | 564 | 2022-04-07 |
| 182 | AllenDowney/ThinkComplexity2 | Book and code for Think Complexity, 2nd edition | 562 | 2021-11-18 |
| 183 | ilmoi/MML-Book | Code / solutions for Mathematics for Machine Learning (MML Book) | 558 | 2021-12-13 |
| 184 | bentrevett/pytorch-image-classification | Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision. | 554 | 2021-12-28 |
| 185 | MrSyee/pg-is-all-you-need | Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods. | 550 | 2021-12-20 |
| 186 | TannerGilbert/Tutorials | Code for some of my tutorials | 542 | 2022-03-17 |
| 187 | ericmjl/bayesian-analysis-recipes | A collection of Bayesian data analysis recipes using PyMC3 | 521 | 2021-12-27 |
| 188 | ashishpatel26/Andrew-NG-Notes | This is Andrew NG Coursera Handwritten Notes. | 516 | 2022-02-13 |
| 189 | codebasics/data-structures-algorithms-python | This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice o ... | 507 | 2022-04-05 |
| 190 | irbigdata/data-dockerfiles | a curated list of docker-compose files prepared for testing data engineering tools, databases and open source libraries. | 506 | 2022-02-01 |
| 191 | Glorf/recipenlg | Set of scripts and notebooks used to produce results visible in RecipeNLG paper | 505 | 2022-03-07 |
| 192 | altdeep/causalML | The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML | 494 | 2022-04-06 |
| 193 | Marigold/universal-portfolios | Collection of algorithms for online portfolio selection | 491 | 2022-04-06 |
| 194 | NeuromatchAcademy/precourse | A repo for the pre-course work at home exercises | 487 | 2022-01-25 |
| 195 | alpv95/Dank-Learning | Dank Learning codebase, generate a meme from any image using AI. Uses a modified version of the Show and Tell image captioning network | 475 | 2021-11-16 |
| 196 | NeuromatchAcademy/course-content-dl | NMA deep learning course | 474 | 2022-04-01 |
| 197 | JayYip/m3tl | BERT for Multitask Learning | 471 | 2022-03-29 |
| 198 | aapatel09/handson-unsupervised-learning | Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media) | 469 | 2022-04-06 |
| 199 | SimonKohl/probabilistic_unet | A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations. | 469 | 2022-03-11 |
| 200 | hamelsmu/code_search | Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning" | 466 | 2022-04-06 |
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