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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PyTorch Tutorial for Deep Learning Researchers
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Python sample codes and textbook for robotics algorithms.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Graph Neural Network Library for PyTorch
An open source platform for Python in the browser. https://pyscript.net Docs: https://docs.pyscript.net/ Try it: https://pyscript.com/ Community: https://discord.gg/HxvBtukrg2
The interactive graphing library for Python ✨
A framework for managing and maintaining multi-language pre-commit hooks.
Convert Machine Learning Code Between Frameworks
🐍 Geometric Computer Vision Library for Spatial AI
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Some out-of-the-box hooks for pre-commit
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
A PyTorch Library for Accelerating 3D Deep Learning Research
Python package for the evaluation of odometry and SLAM
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
Python library for loading and using triangular meshes.
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure stra…
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Plenoxels: Radiance Fields without Neural Networks
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
Pytorch framework for doing deep learning on point clouds.