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text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
An open-source, low-code machine learning library in Python
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Automated Machine Learning with scikit-learn
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing projec…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
An open-source NLP research library, built on PyTorch.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Streamlit — A faster way to build and share data apps.
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Exercise notebooks for Machine Learning modules on Microsoft Learn
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Google Colaboratory Notebooks and Repositories (by @firmai)
Generate Diverse Counterfactual Explanations for any machine learning model.
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
A Python library to access Instagram's private API.
Dataset for Intagram Fake and Automated Account Detection
Lime: Explaining the predictions of any machine learning classifier
COVID-Net Open Source Initiative
We are building an open database of COVID-19 cases with chest X-ray or CT images.