jding0 Goto Github PK

chocosgd

Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

commefficient

PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms

comparxiv

Compare two version of an arXiv preprint with a single command.

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursework

Checklist of videos and exercises that you can follow if you want to get a good baseline for Data Structures and Algorithms.

crackingthesqlinterview

compilation of SQL interview Questions - http://xoraus.github.io/CrackingTheSQLInterview/

crowd-ml

Framework for Crowd-sourced Machine Learning

cv_interviews_q-a

CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

dada

dca-nips2017

Differentially private learning on distributed data (NIPS 2017)

decision-boundaries

code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-

deep-learning

深度学习实战

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-learning-with-gdp

Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"

deep-math-machine-learning.ai

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep-reinforcement-learning-papers-1

A list of papers and resources dedicated to deep reinforcement learning

deeplearning

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

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningprivacy

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

detox

DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation

differential-privacy

differential-privacy-explained

Explanatory notes on Cynthia Dwork's text on privacy originally created for Facebook's SPAI scholarship challenge

differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

differentially-private-sgd

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。