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algorithm-interview

<파이썬 알고리즘 인터뷰> 95가지 알고리즘 문제 풀이로 완성하는 코딩 테스트

cofactor

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

collaborativevae

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

cvae

collective Variational Autoencoder

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deep_matrix_factorization_models

Implementation of the "Deep Matrix Factorization Models for Recommender Systems"

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

drl

Deconfounding Reinforcement Learning in Observational Settings

effective-modern-cpp

Sample code for the Effective Modern C++ book by Scott Meyers.

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

gym-trading

Environment for reinforcement-learning algorithmic trading models

hccf

HCCF, SIGIR 2022

ie579_marl

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

neuralcde

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rme

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation -- CIKM 2018

rsalgorithms

Some algorithms about traditional and social recommendation.

rspapers

Must-read papers on Recommender System.

stock-trading-environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

tfdiv

A Tensorflow implementation of Factorization Machines

tradinggym

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

transformer

Implementation of "Attention Is All You Need" using pytorch

ultragcn

[CIKM'21] UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation

vae_cf

Variational autoencoders for collaborative filtering