A machine learning compiler for GPUs, CPUs, and ML accelerators

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Optimization algorithm in which meta-learned learning rate tensors are pointwise multiplied by gradients to compute update steps.

component-based web framework for affordable housing management

A pure pytorch implemented ocr project including text detection and recognition

React draggable component

The Tensor Algebra SuperOptimizer for Deep Learning

Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort.

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Multi-layer convolutional LSTM with Pytorch

Magnificent app which corrects your previous console command.

upstream mirror

C++ tensors with broadcasting and lazy computing

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)

Latex code for making neural networks diagrams

Deploying a React App (created using create-react-app) to GitHub Pages

Repository for the WebXR Device API Specification.

Artifact Metadata API

sources for the Singular computer algebra system

Haskell bindings for TensorFlow

Efficiently computes derivatives of NumPy code.

Build cross-platform desktop apps with JavaScript, HTML, and CSS

A React framework for building text editors.

✨ A sortable and resizable pane component for React.