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kaggle-bicycle-example

las_mandarin_pytorch

Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)

lib

lightcnn

A pytorch implement of "A Light CNN for Deep Face Representation with Noisy Labels"

mdnet

learning multi-domain convolutional neural networks for visual tracking(MDnet) implementation

mdnet--tracking

neural-network-mnist-cpp

Neural Network implementation in C++ running for MNIST database.

optimization-python

资产组合（https://mp.weixin.qq.com/s/qWWHTE9wk7tr3N6LmUb0UA） General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

plotly_express

Plotly Express - simple syntax for complex charts

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

python

All Algorithms implemented in Python

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

pytorch-examples

Simple examples to introduce PyTorch

pytorch-madrl

PyTorch implementations of various DRL algorithms for both single agent and multi-agent.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-morvanzhou

Build your neural network easy and fast

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

resnet_hekaiming

Everything about resnet in the video you can find here

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl_rainbow_pytorch

Implementation of 6 DQN extension methods using Pytorch. (RAINBOW)

rlgc

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

soft-nms-matlab

The Matlab version of soft-nms

stock-prediction-using-drl-with-lstm

This project is focus on stock prediction,our goal is implementing one trading framework using DRL with LSTM.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

sumo

SUMO is an open source, highly portable, microscopic and continuous road traffic simulation package designed to handle large road networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

sumo-rl

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.