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The GitHub presence of pytorch showcases a wide range of repositories primarily focused on Python, C++, and Java. Notable projects include pytorch, examples, and vision, which cater to various aspects of deep learning and computer vision. This organization maintains an active public footprint that supports developers in building and training neural networks.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Datasets, Transforms and Models specific to Computer Vision
PyTorch tutorials.
A PyTorch native platform for training generative AI models
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
On-device AI across mobile, embedded and edge for PyTorch
Serve, optimize and scale PyTorch models in production
Run PyTorch LLMs locally on servers, desktop and mobile
Models, data loaders and abstractions for language processing, powered by PyTorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
Compiler for Neural Network hardware accelerators
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Data manipulation and transformation for audio signal processing, powered by PyTorch
PyTorch native quantization and sparsity for training and inference
Enabling PyTorch on XLA Devices (e.g. Google TPU)
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
PyTorch android examples of usage in applications
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
functorch is JAX-like composable function transforms for PyTorch.
Submission to https://pytorch.org/hub/
Collective communications library with various primitives for multi-machine training.
C++ extensions in PyTorch
CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
TensorDict is a pytorch dedicated tensor container.
A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.
A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
Translate - a PyTorch Language Library
Pipeline Parallelism for PyTorch
PyTorch elastic training
High performance model preprocessing library on PyTorch
PyTorch iOS examples
TVM integration into PyTorch
Implementations of ideas from recent papers
Accelerate PyTorch models with ONNX Runtime
Continuous builder and binary build scripts for pytorch
high performance image loading and augmenting routines mimicking PIL.Image interface
A tensor-aware point-to-point communication primitive for machine learning
The website for PyTorch
Examples of C extensions for PyTorch
PyTorch C++ API Documentation
[Prototype] Tools for the concurrent manipulation of variably sized Tensors.
PyTorch RFCs (experimental)
No description provided for this repository.
Torch Distributed Experimental
Example repository for custom C++/CUDA operators for TorchScript
This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic to track disabled tests and slow tests, as well as our continuation integration jobs HUD/dashboard.
PyTorch Sphinx Theme
No description provided for this repository.
MaskedTensors for PyTorch
Testing downstream libraries using pytorch release candidates
No description provided for this repository.
Developer blog for PyTorch
A GitHub action to run clang-tidy and annotate failures
HUD for CI activity on `pytorch/pytorch`, provides a top level view for jobs to easily discern regressions
PyTorch GitHub bot written in probot
This repository is automatically generated to contain the website source for the PyTorch documentation at https//pytorch.org/docs.
Jenkins job definitions for OSSCI
Scripts for generating docker images for PyTorch CI
Curated distribution of PyTorch-compatible Python sub-libraries (the PyTorch annex)
The caffe2 website.
Repo to test torchhub. Nothing to see here.
Test for Cross-Repository CI Relay for PyTorch Out-of-Tree Backend
GitHub action for labeling issues and pull requests based on conditions
Diagnose and remediate CI jobs
Alerting system for the pytorch org
sccache is ccache with cloud storage
pytorch builds a variety of repositories on GitHub, including core libraries like pytorch and specialized projects like ignite and serve. These repositories focus on neural network training, computer vision, and AI model deployment.
pytorch primarily uses Python, along with C++, HTML, TypeScript, C, and Jupyter Notebook. This diverse language use supports its extensive projects and enhances interoperability in AI development.
Yes, all of pytorch's repositories are public on GitHub. This allows developers and researchers to access, contribute to, and utilize the vast array of tools and libraries available for deep learning and AI.
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