All Projects → Accel Brain Code → Similar Projects or Alternatives

1849 Open source projects that are alternatives of or similar to Accel Brain Code

Policy Gradient
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
Stars: ✭ 135 (-18.67%)
Learning To Communicate Pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Stars: ✭ 236 (+42.17%)
Awesome Deep Reinforcement Learning
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
Stars: ✭ 95 (-42.77%)
Cs234 Reinforcement Learning Winter 2019
My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019
Stars: ✭ 93 (-43.98%)
Starcraft Ai
Reinforcement Learning and Transfer Learning based StarCraft Micromanagement
Stars: ✭ 95 (-42.77%)
DQN-using-PyTorch-and-ML-Agents
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
Stars: ✭ 81 (-51.2%)
Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Stars: ✭ 222 (+33.73%)
Data Science Free
Free Resources For Data Science created by Shubham Kumar
Stars: ✭ 232 (+39.76%)
ganbert
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+23.49%)
Warehouse Robot Path Planning
A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
Stars: ✭ 59 (-64.46%)
Mutual labels:  q-learning, transfer-learning
CPCE-3D
Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Stars: ✭ 40 (-75.9%)
SimPLE
Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
Stars: ✭ 50 (-69.88%)
dqn-lambda
NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
Stars: ✭ 20 (-87.95%)
CS231n
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (-71.69%)
Samsung Drl Code
Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
Stars: ✭ 99 (-40.36%)
Treeqn
Stars: ✭ 77 (-53.61%)
Pytorch sac ae
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (-43.37%)
Chemgan Challenge
Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Stars: ✭ 98 (-40.96%)
Reinforcement learning in python
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
Stars: ✭ 134 (-19.28%)
Gym Gazebo2
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Stars: ✭ 257 (+54.82%)
Rlgraph
RLgraph: Modular computation graphs for deep reinforcement learning
Stars: ✭ 272 (+63.86%)
deep-Q-networks
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
Stars: ✭ 135 (-18.67%)
Mutual labels:  q-learning, deep-q-network
Pytorch Dqn
Deep Q-Learning Network in pytorch (not actively maintained)
Stars: ✭ 282 (+69.88%)
Deep reinforcement learning course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Stars: ✭ 3,232 (+1846.99%)
Deep rl
PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)
Stars: ✭ 291 (+75.3%)
reinforce-js
[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
Stars: ✭ 20 (-87.95%)
Reward Learning Rl
[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering
Stars: ✭ 310 (+86.75%)
Neural Symbolic Machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
Stars: ✭ 305 (+83.73%)
Deeprl Tensorflow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (+92.17%)
Gdrl
Grokking Deep Reinforcement Learning
Stars: ✭ 304 (+83.13%)
Tf Rex
Play Google Chrome's T-rex game with TensorFlow
Stars: ✭ 345 (+107.83%)
Lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (+119.28%)
Applied Reinforcement Learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (+37.95%)
Tensorflow Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+2383.13%)
Flappy Bird Deep Q Learning Pytorch
Deep Q-learning for playing flappy bird game
Stars: ✭ 403 (+142.77%)
Aws Robomaker Sample Application Deepracer
Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track
Stars: ✭ 105 (-36.75%)
Numpy Ml
Machine learning, in numpy
Stars: ✭ 11,100 (+6586.75%)
Mutual labels:  reinforcement-learning, lstm
Rl Book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Stars: ✭ 464 (+179.52%)
Awesome Monte Carlo Tree Search Papers
A curated list of Monte Carlo tree search papers with implementations.
Stars: ✭ 387 (+133.13%)
Tetris Ai
A deep reinforcement learning bot that plays tetris
Stars: ✭ 109 (-34.34%)
Video Classification
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Stars: ✭ 543 (+227.11%)
Mutual labels:  lstm, transfer-learning
Animalai Olympics
Code repository for the Animal AI Olympics competition
Stars: ✭ 544 (+227.71%)
Habitat Lab
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
Stars: ✭ 587 (+253.61%)
Leakgan
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
Stars: ✭ 533 (+221.08%)
Reinforcement Learning
🤖 Implements of Reinforcement Learning algorithms.
Stars: ✭ 104 (-37.35%)
Exermote
Using Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-34.94%)
Pytorch Gan Timeseries
GANs for time series generation in pytorch
Stars: ✭ 109 (-34.34%)
Deep Reinforcement Learning
Repo for the Deep Reinforcement Learning Nanodegree program
Stars: ✭ 4,012 (+2316.87%)
Softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Stars: ✭ 713 (+329.52%)
Ml Agents
Unity Machine Learning Agents Toolkit
Stars: ✭ 12,134 (+7209.64%)
Pytorch Rl
Deep Reinforcement Learning with pytorch & visdom
Stars: ✭ 745 (+348.8%)
Gibsonenv
Gibson Environments: Real-World Perception for Embodied Agents
Stars: ✭ 666 (+301.2%)
Hierarchical Actor Critic Hac Pytorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Stars: ✭ 116 (-30.12%)
Minimalrl
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+1135.54%)
Rl trading
An environment to high-frequency trading agents under reinforcement learning
Stars: ✭ 205 (+23.49%)
Pytorch A2c Ppo Acktr Gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Stars: ✭ 2,632 (+1485.54%)
Paac.pytorch
Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862
Stars: ✭ 22 (-86.75%)
Causalworld
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Stars: ✭ 76 (-54.22%)
Torchrl
Highly Modular and Scalable Reinforcement Learning
Stars: ✭ 102 (-38.55%)
Ctc Executioner
Master Thesis: Limit order placement with Reinforcement Learning
Stars: ✭ 112 (-32.53%)
121-180 of 1849 similar projects