The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
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Updated
Dec 18, 2024
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
LAVIS - A One-stop Library for Language-Vision Intelligence
CUDA Templates for Linear Algebra Subroutines
Lightweight library to build and train neural networks in Theano
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.
A lightweight deep learning library
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
A collection of all projects pertaining to different layers in the SDC software stack
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
以jax为后端的类似keras的框架
Tiny and elegant deep learning library
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
Flow-based data pre-processing for deep learning
This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.
Demitasse: SPMD Programing Implementation of Deep Neural Network Library for Mobile Devices(NeurIPS2016WS)
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