OpenClaw-RL: Train any agent simply by talking

[参赛队伍] TAAC 2026 腾讯广告算法大赛 X KDD 2026

🌟 Learn to factor scenarios for improved multi-scenario route ranking with DSFNet, enhancing decision-making in navigation and logistics.

机器学习工程师、算法工程师、软件工程师、数据科学家-面试指南 | Interview guide for MLE, SDE, DS

Claude Code Snapshot for Research. All original source code is the property of Anthropic.

Bayesian optimization in PyTorch

Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.

A unified, efficient, and extensible PyTorch-based recommendation library

从零构建大模型：从预训练到RLHF的完整实践

Simulation-based Interactive Query Suggestion Evaluation

一份全栈式大语言模型参考指南，用最简洁的代码帮助你端到端定义模型从零训练到工程落地的每一个细节

A Reproduction of GDM's Nested Learning Paper

A cutting-edge, AI-enhanced performance optimization framework for NVIDIA GPUs that leverages machine learning techniques to analyze CUDA kernels and provide intelligent optimization recommendatio…

PosterMaker [CVPR 2025] https://poster-maker.github.io/

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…

Best practices & guides on how to write distributed pytorch training code

End-to-end optimization of RAG systems using generative feedback, inspired by GRPO.

Relevance Prediction in E-commerce Product Search

本应用是一个基于MCP（Model-View-Controller-Presenter）架构的本地新闻、天气及国内外重要新闻实时推送系统。集成阿里云百炼大语言模型，通过微信公众号为用户提供个性化的新闻天气信息推送服务，支持用户交互和地理位置更新。

First-of-its-kind platform that combines multi-agent reinforcement learning with real-time market analysis to provide data-driven bidding recommendations that maximize both win probability and prof…

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…