The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
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Updated
Jun 16, 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
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 Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
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.
Flow-based data pre-processing for deep learning
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.
Machine Learning Practical Course Code Repository
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