deep-learning-library

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

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Tiny and elegant deep learning library

以jax为后端的类似keras的框架

Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.

InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

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)