johnyfeng Goto Github PK

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

actor_criticpointer_network-tsp

Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Optimization with Reinforcement Learning, Bello et al, 2016)

awesome-depth

A curated list of publication for depth estimation

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-multiple-object-tracking

Paper list for multiple object tracking

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-rl

Reinforcement learning resources curated

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

benchmark_results

Visual Tracking Paper List

cascade-rcnn-tracking

Cascade-RCNN+DeepSort MOTDT Trackor++

centerx

This repo is implemented based on detectron2 and centernet

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

commandcenter

Starcraft AI Bot

csim

simple combat simulator

cvpr2019

cvpr2019 papers，极市团队整理

cvpr2020-code

CVPR 2020 论文开源项目合集

cvtrackers

Single and Multi Object Tracking Using OpenCV 🐾🛰

dasiamrpn

[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deepmot

Official implementation of DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

feudal_networks

An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gmatch4py

A graph matching library for Python

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-based-nn

Graph Convolutional Networks (GCNs)

graph-neural-networks