Recsim A Configurable Recommender Systems Simulation Platform
Stars: ✭ 461 (-83.56%)
SAMNThis is our implementation of SAMN: Social Attentional Memory Network
Stars: ✭ 45 (-98.4%)
RecnnReinforced Recommendation toolkit built around pytorch 1.7
Stars: ✭ 362 (-87.09%)
CatalystAccelerated deep learning R&D
Stars: ✭ 2,804 (+0%)
NARREThis is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
Stars: ✭ 100 (-96.43%)
EATNNThis is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)
Stars: ✭ 23 (-99.18%)
KgpolicyReinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
Stars: ✭ 83 (-97.04%)
SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
Stars: ✭ 23 (-99.18%)
Drl4recsysCourses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
Stars: ✭ 196 (-93.01%)
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (-81.99%)
Ml Surveys📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Stars: ✭ 1,063 (-62.09%)
Awesome Deep Learning Papers For Search Recommendation AdvertisingAwesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
Stars: ✭ 136 (-95.15%)
Naf Tensorflow"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
Stars: ✭ 192 (-93.15%)
Papers we readSummaries of the papers that are discussed by VLG.
Stars: ✭ 203 (-92.76%)
Graph NetworksA list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
Stars: ✭ 192 (-93.15%)
KbganCode for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Stars: ✭ 186 (-93.37%)
ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
Stars: ✭ 2,569 (-8.38%)
CrslabCRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Stars: ✭ 183 (-93.47%)
RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
Stars: ✭ 184 (-93.44%)
PomdpyPOMDPs in Python.
Stars: ✭ 183 (-93.47%)
PrompProMP: Proximal Meta-Policy Search
Stars: ✭ 181 (-93.54%)
Gym UnrealcvUnreal environments for reinforcement learning
Stars: ✭ 202 (-92.8%)
Pytorch A2c Ppo Acktr GailPyTorch 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 (-6.13%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-93.15%)
Alpha Zero GeneralA clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Stars: ✭ 2,617 (-6.67%)
Gym SokobanSokoban environment for OpenAI Gym
Stars: ✭ 186 (-93.37%)
Crypto traderQ-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange
Stars: ✭ 184 (-93.44%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (-92.8%)
Awesome Game AiAwesome Game AI materials of Multi-Agent Reinforcement Learning
Stars: ✭ 185 (-93.4%)
Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stars: ✭ 204 (-92.72%)
Deeprl AgentsA set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Stars: ✭ 2,149 (-23.36%)
ReleaseDeep Reinforcement Learning for de-novo Drug Design
Stars: ✭ 201 (-92.83%)
GymfcA universal flight control tuning framework
Stars: ✭ 210 (-92.51%)
PolaraRecommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
Stars: ✭ 205 (-92.69%)
Recsys course at polimiThis is the official repository for the Recommender Systems course at Politecnico di Milano.
Stars: ✭ 180 (-93.58%)
Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-93.58%)
Simple rlA simple framework for experimenting with Reinforcement Learning in Python.
Stars: ✭ 179 (-93.62%)
Gail TfTensorflow implementation of generative adversarial imitation learning
Stars: ✭ 179 (-93.62%)
Rl tradingAn environment to high-frequency trading agents under reinforcement learning
Stars: ✭ 205 (-92.69%)
Reinforce.jlAbstractions, algorithms, and utilities for reinforcement learning in Julia
Stars: ✭ 178 (-93.65%)
Tensorflow RlImplementations of deep RL papers and random experimentation
Stars: ✭ 176 (-93.72%)
Deep AlgotradingA resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
Stars: ✭ 173 (-93.83%)
Alphazero gomokuAn implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Stars: ✭ 2,570 (-8.35%)
MinervaMeandering In Networks of Entities to Reach Verisimilar Answers
Stars: ✭ 205 (-92.69%)
AilearnnotesArtificial Intelligence Learning Notes.
Stars: ✭ 195 (-93.05%)