Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
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Jun 23, 2020 - Python
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regularization
Here are 687 public repositories matching this topic...
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
deep-neural-networks jupyter-notebook pytorch regularization pruning quantization group-lasso distillation onnx truncated-svd network-compression pruning-structures early-exit automl-for-compression
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Apr 24, 2023 - Jupyter Notebook
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 Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…
deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization
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Apr 13, 2024 - Jupyter Notebook
Early stopping for PyTorch
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Nov 11, 2024 - Jupyter Notebook
Official Pytorch implementation of CutMix regularizer
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Sep 16, 2020 - Python
Training neural models with structured signals.
tensorflow keras neural-networks regularization adversarial-learning graph-learning structured-signals
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Jun 18, 2024 - Python
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
machine-learning computer-vision pytorch dropout regularization convolutional-neural-networks pytorch-implementation dropblock
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Jul 29, 2020 - Python
Code for reproducing Manifold Mixup results (ICML 2019)
deep-neural-networks deep-learning pytorch supervised-learning regularization data-augumentation supervised-machine-learning icml2019
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Mar 31, 2024 - Python
Image-processing software for cryo-electron microscopy
gui hpc molecular-structures cuda image-processing nvidia high-performance-computing graphics-programming ctf regularization cryo-em microscopy likelihood maximum-likelihood optimization-algorithms relion molecular-biology atomistic-models biomolecular-dynamics microscope
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Dec 10, 2024 - C++
Simple Implementation of many GAN models with PyTorch.
pytorch gan mnist infogan dcgan regularization celeba wgan began wgan-gp infogan-pytorch conditional-gan pytorch-gan gan-implementations vanilla-gan gan-pytorch gan-tutorial stanford-cars cars-dataset began-pytorch
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Feb 22, 2023 - Jupyter Notebook
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
deep-learning regularization reconstruction nerf diffusion diffusion-models neuralradiance-fields radiance-field
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Nov 23, 2023 - Python
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
deep-learning neural-network optimization coursera batch-normalization regularization convolutional-networks
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Nov 2, 2022 - Jupyter Notebook
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
benchmark computer-vision deep-learning pytorch regularization data-augmentation robustness point-cloud-processing ml-safety corruption-robustness
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Aug 26, 2023 - Python
机器学习-Coursera-吴恩达- python+Matlab代码实现
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May 27, 2022 - MATLAB
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
machine-learning neural-network clustering svm linear-regression pca classification recommender-system regularization gradient-descent k-means anomalydetection principal-component-analysis learning-curve
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Jun 1, 2024 - R
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
deep-learning regularization convolutional-neural-networks naver data-augmentation iccv iccv2019 state-of-the-ar
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Nov 17, 2022 - Python
Generalized Linear Models in Sklearn Style
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Apr 22, 2020 - Python
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.
reinforcement-learning tensorflow linear-regression xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent tree-ensemble kmeans-clustering anomaly-detection supervised-machine-learning unsupervised-machine-learning multiple-linear-regression
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Jan 25, 2023 - Jupyter Notebook
Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
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Nov 17, 2020 - Python
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