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The most cited deep learning papers

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

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2004-2020美赛O奖论文

FactorGAN - Training GANs with missing data

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Code for fast dpsgd implementations in JAX/TF

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…

This repository includes data and code for the algorithm of Kernel Density Estimation from Multiple Sources (KDEm) proposed in a KDD'16 paper

starter from "How to Train a GAN?" at NIPS2016

Hyper volume maximization for GAN training

GANs with multiple Discriminators

A PyTorch Implementation of Federated Learning https://doi.org/10.5281/zenodo.4321561

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Differentially-private Wasserstein GAN implementation in PyTorch