PyTorch Single Controller

PyTorch native quantization and sparsity for training and inference

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The website for PyTorch

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

PyTorch tutorials.

Foundational Models for State-of-the-Art Speech and Text Translation

FAIR Sequence Modeling Toolkit 2

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Prototype routines for GPU quantization written using PyTorch.

MaskedTensors for PyTorch

Data loaders and abstractions for text and NLP

SIMD library for evaluating elementary functions, a vectorized libm

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

No description provided.

Datasets, Transforms and Models specific to Computer Vision

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Enabling PyTorch on Google TPU

Efficient GPU kernels for block-sparse matrix multiplication and convolution

Data manipulation and transformation for audio signal processing, powered by PyTorch

No description provided.

End-to-End Object Detection with Transformers

PyTorch RFCs (experimental)

Playing with csr layouts

No description provided.

Udacity CS344 Introduction to Parallell Programming (https://classroom.udacity.com/courses/cs344), with assignments/materials updated to build in 2021

No description provided.