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algo

数据结构和算法必知必会的50个代码实现

algo-basic

专注于分享算法，计算机基础（包括计算机网络，操作系统，MySQL等），无论是应付面试，还是提升自己地内功，这里都能帮到你

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

asrt_speechrecognition

基于深度学习的语音识别系统，使用CNN、LSTM和CTC实现的中文语音识别系统

awesome-programming-books-1

计算机经典书籍📚，保留书单

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bmd

Binary Matrix Decomposition

brecq

Pytorch implementation of BRECQ, ICLR 2021

cremunity

A creative community based on recommendation engine 基于推荐引擎的个性化内容创作社区

cvpr17

CVPR 2017 Tutorial

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

deep-image-prior

Image restoration with neural networks but without learning.

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearning

Python for “Deep Learning”，《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

delayed-compensation-asynchronous-stochastic-gradient-descent-for-multiverso

Asynchronous Stochastic Gradient Descent with Delay Compensation

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

face-recongize

耶鲁大学人脸数据集 keras实现

flink

Apache Flink

flink-jpmml

flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine

flink-training-course

gluon-cv

Gluon CV Toolkit

granet

[Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

interpretable-ml-book

Book about interpretable machine learning

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

learn-git

learn_git

This is a demo project for testing git

machinelearning_python

机器学习算法python实现

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.