Drl4recsysCourses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
Stars: ✭ 196 (+113.04%)
Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (-23.91%)
ConsimiloA Clojure library for querying large data-sets on similarity
Stars: ✭ 54 (-41.3%)
Deep Q LearningMinimal Deep Q Learning (DQN & DDQN) implementations in Keras
Stars: ✭ 1,013 (+1001.09%)
Collaborative Deep Learning For Recommender SystemsThe hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
Stars: ✭ 60 (-34.78%)
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 (+1188.04%)
RecoderLarge scale training of factorization models for Collaborative Filtering with PyTorch
Stars: ✭ 46 (-50%)
Expo MfExposure Matrix Factorization: modeling user exposure in recommendation
Stars: ✭ 81 (-11.96%)
GorseAn open source recommender system service written in Go
Stars: ✭ 1,148 (+1147.83%)
Parl SampleDeep reinforcement learning using baidu PARL(maze,flappy bird and so on)
Stars: ✭ 37 (-59.78%)
Minecraft Reinforcement LearningDeep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
Stars: ✭ 33 (-64.13%)
MaxCode for reproducing experiments in Model-Based Active Exploration, ICML 2019
Stars: ✭ 61 (-33.7%)
RexyFlexible and extendable recommender system based on an abstract User-Product-Tag schema
Stars: ✭ 57 (-38.04%)
KgpolicyReinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
Stars: ✭ 83 (-9.78%)
ElliotComprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Stars: ✭ 49 (-46.74%)
Noreward Rl[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Stars: ✭ 1,176 (+1178.26%)
Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
Stars: ✭ 44 (-52.17%)
Learning Notes💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.
Stars: ✭ 90 (-2.17%)
RlcardReinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Stars: ✭ 980 (+965.22%)
Dreamrnn based model for recommendations
Stars: ✭ 77 (-16.3%)
Pytorch NecPyTorch Implementation of Neural Episodic Control (NEC)
Stars: ✭ 67 (-27.17%)
DrlkitA High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms
Stars: ✭ 29 (-68.48%)
RecqRecQ: A Python Framework for Recommender Systems (TensorFlow Based)
Stars: ✭ 883 (+859.78%)
TensorrecA TensorFlow recommendation algorithm and framework in Python.
Stars: ✭ 1,130 (+1128.26%)
Collaborative RnnA TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
Stars: ✭ 60 (-34.78%)
LikelikeAn implementation of locality sensitive hashing with Hadoop
Stars: ✭ 58 (-36.96%)
RecosystemRecommender System Using Parallel Matrix Factorization
Stars: ✭ 74 (-19.57%)
Ml Surveys📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Stars: ✭ 1,063 (+1055.43%)
Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Stars: ✭ 9,717 (+10461.96%)
Drl paper summarySummary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.
Stars: ✭ 49 (-46.74%)
MujocounityReproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).
Stars: ✭ 47 (-48.91%)
SnakeArtificial intelligence for the Snake game.
Stars: ✭ 1,241 (+1248.91%)
Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Stars: ✭ 45 (-51.09%)
RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Stars: ✭ 71 (-22.83%)
Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Stars: ✭ 44 (-52.17%)
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (+2.17%)
DeepbootcampSolved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley
Stars: ✭ 39 (-57.61%)
EhcfThis is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
Stars: ✭ 70 (-23.91%)
Deepqlearning.jlImplementation of the Deep Q-learning algorithm to solve MDPs
Stars: ✭ 38 (-58.7%)
Rlenv.directoryExplore and find reinforcement learning environments in a list of 150+ open source environments.
Stars: ✭ 79 (-14.13%)
Left ShiftUsing deep reinforcement learning to tackle the game 2048.
Stars: ✭ 35 (-61.96%)
Movie Recommender SystemBasic Movie Recommendation Web Application using user-item collaborative filtering.
Stars: ✭ 85 (-7.61%)
RainbowRainbow: Combining Improvements in Deep Reinforcement Learning
Stars: ✭ 1,148 (+1147.83%)
Pytorch A3cPyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Stars: ✭ 879 (+855.43%)
Drl papernotesNotes and comments about Deep Reinforcement Learning papers
Stars: ✭ 65 (-29.35%)
Cs234My Solution to Assignments of CS234
Stars: ✭ 91 (-1.09%)
Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
Stars: ✭ 8,912 (+9586.96%)