Stars
Machine Learning Engineering Open Book
Machine Learning Journal for Intermediate to Advanced Topics.
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
🚀 Efficient implementations of state-of-the-art linear attention models
codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement"
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
A curated list of resources about generative flow networks (GFlowNets).
Recent research papers about Foundation Models for Combinatorial Optimization
The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.
Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Attention based model for learning to solve different routing problems
Awesome machine learning for combinatorial optimization papers.
[ICLR 2022] Open-World Semi-Supervised Learning
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
The most cited deep learning papers
Reading list for research topics in multimodal machine learning
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".