Lists (3)
Sort Name ascending (A-Z)
Stars
A decentralized agent network for building collaborative, LLM-powered agent-to-agent (A2A) systems.
Auto-Manage Your Personal Task Context with AI
🔬 AI学术深度研究平台 | 大模型驱动的文献分析 | 一键生成可溯源研究报告 | 支持文献综述、靶点分析、竞争分析 | Word导出 | 中英双语 | suppr.wilddata.cn/deep-research
Automatically extracts long texts into structured dialogue datasets via LLMs, with built-in validation, pairing, ChatML export, CLI/FastAPI/GUI support, concurrency, and checkpoint resume. 通过LLM自动将…
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
A Pytorch Computer Vision template to quick start your next project! 🚀🚀
Intelligent Mixture-of-Models Router for Efficient LLM Inference
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.
Official Implementation of FastMCTS: A Simple Sampling Strategy for Data Synthesis
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Science-Star: A Platform for Building, Extending, and Experimenting with Scientific Agents.
[CVPR 2024 Highlight] Visual Point Cloud Forecasting
Task-focused programming environment designed for the right vibe.
(CVPR2021) DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
[ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"
Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Focus on Linux C2. The open source part is reverse shell management.
[MM 2025] EventVAD: Training-Free Event-Aware Video Anomaly Detection
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
lailai's personal website for sharing technical notes, project experience, and learning insights.