deep-learning-library

#计算机科学#The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

翻译 - 难以置信的PyTorch：精选的教程，论文，项目，社区以及与PyTorch相关的更多内容。

#计算机科学#LAVIS - A One-stop Library for Language-Vision Intelligence

#计算机科学#CUDA Templates for Linear Algebra Subroutines

翻译 - 用于线性代数子程序的 CUDA 模板

Lightweight library to build and train neural networks in Theano

翻译 - 轻量级库，用于在Theano中构建和训练神经网络

#自然语言处理#Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

翻译 - 使用几行代码将稀疏化配方应用于神经网络的库，实现更快和更小的模型

#计算机科学#A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

#计算机科学#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.

翻译 - Keras.NET是一个高级神经网络API，使用带有Python绑定的C＃语言编写，并且能够在TensorFlow，CNTK或Theano之上运行。

A lightweight deep learning library

#自然语言处理#Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

#计算机科学#A collection of all projects pertaining to different layers in the SDC software stack

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

#计算机科学#The Cutest Deep Learning Framework which is also a wonderful Declarative Language

#计算机科学#Tiny and elegant deep learning library

翻译 - 小而优雅的深度学习库

#自然语言处理#以jax为后端的类似keras的框架

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

#自然语言处理#InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

#计算机科学#Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.

#计算机科学#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.

#IOS#Demitasse: SPMD Programing Implementation of Deep Neural Network Library for Mobile Devices(NeurIPS2016WS)