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⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
A resource for learning about Machine learning & Deep Learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.
Attention based model for learning to solve different routing problems
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Reinforcement learning based methods for solving the TSP problem
Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.
A minimalist environment for decision-making in autonomous driving
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Open-source simulator for autonomous driving research.
Paper list of Reinforcement Learning (RL) applied on transportation
Code for the paper: "MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation"
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
The hub for EleutherAI's work on interpretability and learning dynamics
Source Han Serif | 思源宋体 | 思源宋體 | 思源宋體 香港 | 源ノ明朝 | 본명조
An extension library for nicegui. It has built-in responsive components and fully implements data-responsive interface programming.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.