UnderflowWith underflow, create trafic light clusters that interact together to regulate circulation
Stars: ✭ 12 (-92.5%)
Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+753.13%)
Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
Stars: ✭ 480 (+200%)
mujoco-benchmarkProvide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library
Stars: ✭ 101 (-36.87%)
IntrotodeeplearningLab Materials for MIT 6.S191: Introduction to Deep Learning
Stars: ✭ 4,955 (+2996.88%)
pytorch-rlPytorch Implementation of RL algorithms
Stars: ✭ 15 (-90.62%)
DeerDEEp Reinforcement learning framework
Stars: ✭ 455 (+184.38%)
SharkStockAutomate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …
Stars: ✭ 63 (-60.62%)
DRL in CVA course on Deep Reinforcement Learning in Computer Vision. Visit Website:
Stars: ✭ 59 (-63.12%)
Samsung Drl CodeRepository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
Stars: ✭ 99 (-38.12%)
SRLFSimple Reinforcement Learning Framework
Stars: ✭ 24 (-85%)
ddrlDeep Developmental Reinforcement Learning
Stars: ✭ 27 (-83.12%)
semantic-guidanceCode for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.
Stars: ✭ 19 (-88.12%)
RL-FlappyBirdUsing reinforcement learning to train FlappyBird.
Stars: ✭ 68 (-57.5%)
LearningxDeep & Classical Reinforcement Learning + Machine Learning Examples in Python
Stars: ✭ 241 (+50.63%)
rl-medicalCommunicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Stars: ✭ 36 (-77.5%)
Starcraft Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Stars: ✭ 372 (+132.5%)
Watermark RemoverRemove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现(目前只支持固定水印位置)。
Stars: ✭ 236 (+47.5%)
Drl RecDeep reinforcement learning for recommendation system
Stars: ✭ 92 (-42.5%)
CurlCURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Stars: ✭ 346 (+116.25%)
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (-41.25%)
racing dreamerLatent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Stars: ✭ 31 (-80.62%)
DeepCubeACode for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.
Stars: ✭ 92 (-42.5%)
Cs234My Solution to Assignments of CS234
Stars: ✭ 91 (-43.12%)
distributedRLA framework for easy prototyping of distributed reinforcement learning algorithms
Stars: ✭ 93 (-41.87%)
Cadrl rosROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Stars: ✭ 309 (+93.13%)
GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Stars: ✭ 227 (+41.88%)
Neural Symbolic MachinesNeural 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 (+90.63%)
robustnavEvaluating pre-trained navigation agents under corruptions
Stars: ✭ 18 (-88.75%)
Pytorch TrpoPyTorch implementation of Trust Region Policy Optimization
Stars: ✭ 303 (+89.38%)
AcerActor-critic with experience replay
Stars: ✭ 215 (+34.38%)
Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Stars: ✭ 9,717 (+5973.13%)
deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
Stars: ✭ 32 (-80%)
Learning Notes💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.
Stars: ✭ 90 (-43.75%)
TrixiManage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
Stars: ✭ 211 (+31.88%)
Chanlun文件 笔和线段的一种划分.py,只需要把k线high,low数据输入,就能自动实现笔,线段,中枢,买卖点,走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难,有人说选股很容易,有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统,当你的影响可以被忽略,你才能实现,Jiang主席所谓之,闷声发大财。
Stars: ✭ 206 (+28.75%)
DRL DeliveryDuelDeep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.
Stars: ✭ 30 (-81.25%)
rtrlPyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
Stars: ✭ 57 (-64.37%)
SnakeArtificial intelligence for the Snake game.
Stars: ✭ 1,241 (+675.63%)
AtariPersistent advantage learning dueling double DQN for the Arcade Learning Environment
Stars: ✭ 261 (+63.13%)
PapersSummaries of machine learning papers
Stars: ✭ 2,362 (+1376.25%)
dqn-tensorflowDeep Q Network implements by Tensorflow
Stars: ✭ 25 (-84.37%)
Rlenv.directoryExplore and find reinforcement learning environments in a list of 150+ open source environments.
Stars: ✭ 79 (-50.62%)
ml course"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Stars: ✭ 22 (-86.25%)
Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
Stars: ✭ 8,912 (+5470%)
AutoPentest-DRLAutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning
Stars: ✭ 196 (+22.5%)
DI-starAn artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.
Stars: ✭ 1,335 (+734.38%)
Awesome System For Machine LearningA curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
Stars: ✭ 1,185 (+640.63%)
Atari Model ZooA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Stars: ✭ 198 (+23.75%)