All Algorithms implemented in Python

Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

In this research, we present a problem of queuing time aware next POI recommendation and demonstrate how it is non-trivial to both recommend a next POI and simultaneously predict its queuing time. …

A Deep Learning Based Context-Aware Recommendation Library

Utilization of BERT model for content and item based collaborative filtering

Creating a Deep Net Model for Recommendation System using Apriori Algorithm in Python.

Hybrid Recommender System

Real-time Recommendation System for Tourism Correspond Real-time Context-aware

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

Reinforcement learning for operation research problems with OpenAI Gym and CleanRL

Encode-attend-navigate unofficial Pytorch implementation

In this project, we will implement content-based filtering using a neural network to build a recommender system for movies.

An index of algorithms for offline reinforcement learning (offline-rl)

[ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.

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

Open AI Gym - Pendulum-v1 reinforcement learning (DQN, SAC)

Reinforcement Learning Recommender System suggesting relevant scientific services to appropriate researchers

The matplotlib Animation Extension

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

This repository contains the implementation of a Deep Deterministic Policy Gradient (DDPG) algorithm applied to solve the Reacher environment in Unity ML-Agents.

Personal experiments on Reinforcement Learning

Implementations of RL algorithms from scratch.

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

PyTorch implementation of PtrNet to solve sorting problem.

Highly Modular and Scalable Reinforcement Learning