423 Open source projects that are alternatives of or similar to deep_reinforcement_learning_gallery

Farm Animal Tracking (FAT)

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

GitHub repo for my Tensorflow World hackathon submission

2019北京大学软件与微电子学院曹健老师的《人工智能实践》作业，有完整的注释,欢迎提出issue以及request

No description or website provided.

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

🐵 An AI chess-board-game framework(by many programming languages) implementations.

Lightweight deep RL Libraray for continuous control.

TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.

Reinforcement Learning Demos

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Hierarchical-DQN in pytorch (not actively maintained)

Learning Continuous Control in Deep Reinforcement Learning

UnitBox: An Advanced Object Detection Network

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

Working golang + tensorflow

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

Generative Adversarial Networks in TensorFlow 2.0

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

3D RL Volleyball environment built on Unity ML-Agents

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

An out-of-the-box GUI tool for offline deep reinforcement learning

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

A Universal Deep Reinforcement Learning Framework

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

JAX implementations of core Deep RL algorithms

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

☔ Deep RL agents with PyTorch☔

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

High-speed Autonomous Drifting with Deep Reinforcement Learning

Functional Reinforcement Learning in Scala.

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Ape-X DQN & DDPG with pytorch & tensorboard

Code for "Neural Tangent Generalization Attacks" (ICML 2021)

Cloud-native Financial Reinforcement Learning

No description or website provided.

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

Tensorflow implementation of the Restricted Boltzmann Machine

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.