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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Streamlit — A faster way to build and share data apps.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
get things from one computer to another, safely
Magenta: Music and Art Generation with Machine Intelligence
Open standard for machine learning interoperability
Datasets, Transforms and Models specific to Computer Vision
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Open deep learning compiler stack for cpu, gpu and specialized accelerators
NumPy aware dynamic Python compiler using LLVM
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Ready-to-run Docker images containing Jupyter applications
Multi-user server for Jupyter notebooks
The Open edX LMS & Studio, powering education sites around the world!
A flexible framework of neural networks for deep learning
Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
🆔 A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
Lightweight library to build and train neural networks in Theano
GitHub repository for the SecureDrop whistleblower platform. Do not submit tips here!