Stars
Fast and memory-efficient exact attention
OSLO: Open Source framework for Large-scale model Optimization
Machine learning metrics for distributed, scalable PyTorch applications.
Flexible Python configuration system. The last one you will ever need.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Emacs client/library for the Language Server Protocol
lsp-mode ❤️ Microsoft's python language server
Hydra is a framework for elegantly configuring complex applications
Research workflows made easy, locally and in the Cloud.
PyTorch Extension Library of Optimized Scatter Operations
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Jupyter notebook client in Emacs
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Automatic tiling window manager for macOS à la xmonad.
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
Vim-fork focused on extensibility and usability