463 Open source projects that are alternatives of or similar to Deep-Quality-Value-Family

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

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!

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

Smart India Hackathon 2019 project given by the Department of Atomic Energy

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

Keras implementation of "A Neural Algorithm of Artistic Style"

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

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.

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

Code for DCASE 2020 task 1a and task 1b.

Develop ultimate AI Pokémon trainer

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

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

With underflow, create trafic light clusters that interact together to regulate circulation

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

No description or website provided.

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

Notepad++ Syntax Highlighting for 6502 Assembly (and NESASM)

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Recognize Digits using Deep Neural Networks in Google Chrome live!

使用深度强化学习解决视觉跟踪和视觉导航问题

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

High-speed Autonomous Drifting with Deep Reinforcement Learning

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

No description or website provided.

Facial Expression Recognition with Keras

Cloud-native Financial Reinforcement Learning

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

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

No description or website provided.

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

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

BTK Akademi -1 Milyon İstihdam Projesi için Merve Ayyüce Kızrak tarafından Hazırlanmıştır.

Reinforcement Learning Demos

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.

Hierarchical Attention Networks for Document Classification in Keras

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Hierarchical-DQN in pytorch (not actively maintained)

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

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

Graph convolution with tf.keras

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

[Lumiata COVID-19 Winner] COVID Immunity testing results registered to the Blockchain for healthcare safety.

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

Extending Keras to support tfrecord dataset

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

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

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

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

Lightweight deep RL Libraray for continuous control.

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.

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

Deep Reinforcement Learning for Robotic Grasping from Octrees

Deep Learning using Rectified Linear Units (ReLU)

Deep reinforcement learning with tensorflow2

Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)