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The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Awesome Reasoning LLM Tutorial/Survey/Guide
Implementations, Pre-training Code and Datasets of Large Time-Series Models
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
OmniGen2: Exploration to Advanced Multimodal Generation. https://arxiv.org/abs/2506.18871
AI Agent 资源汇总，不限于基础概念、测评基准、Agent SDK、核心论文、开源项目等
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
Reference implementation for DPO (Direct Preference Optimization)
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
"OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works
A Gemini 2.5 Flash Level MLLM for Vision, Speech, and Full-Duplex Multimodal Live Streaming on Your Phone
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
📚 AIGC 求职面经、必备基础知识、提示词工程、ChatGPT、Stable Diffusion、Prompt、Embedding、Fintune 等 AIGC 求职你所需要知道的一切~
A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调