dahsh,github

data

A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.

Dynolog is a telemetry daemon for performance monitoring and tracing. It exports metrics from different components in the system like the linux kernel, CPU, disks, Intel PT, GPUs etc. Dynolog also integrates with pytorch and can trigger traces for distributed training applications.

examples

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

fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

google-research

Google Research

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

llama

Inference code for LLaMA models

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

multimodal

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

sparser-cnn

End-to-End Object Detection with Learnable Proposal, CVPR2021

tensorboard

TensorFlow's Visualization Toolkit

tensorflow

An Open Source Machine Learning Framework for Everyone

text

Data loaders and abstractions for text and NLP

tnt

A lightweight library for PyTorch training tools and utilities

torcharrow

A torch.Tensor-like DataFrame library supporting multiple execution runtimes and Arrow as a common memory format

torcheval

A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations.

torchrec

Pytorch domain library for recommendation systems

torchtune

A Native-PyTorch Library for LLM Fine-tuning

torchx

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

tutorials

PyTorch tutorials.

vision

Datasets, Transforms and Models specific to Computer Vision

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