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aaa-pix2pix

Adversarial Attack Zoo and Victim Model Zoo for general Pixel-to-Pixel Tasks

aclove

app

am-gcn

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

android-

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

awesome-blockchain-cn

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

babble

Distributed Consensus Middleware

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

broad-learning-system

BLS Code

cdw_fedavg

The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"

cityflow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

colight

CoLight: Learning Network-level Cooperation for Traffic Signal Control

concord-bft

Concord byzantine fault tolerant state machine replication library

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

coolweather

covid-19

Wuhan Corona (COVID-19) patients dataset

crf

Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deepcreampy

Decensoring Hentai with Deep Neural Networks

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

demolight

dynamicrelu

Implementation of Dynamic ReLU on Pytorch

energy_ood

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fedavg

Implement FedAvg algorithm based on Tensorflow

fedlab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

fedvision

Federated Computer Vision Engine