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Local Deep Research is an AI-powered assistant that transforms complex questions into comprehensive, cited reports by conducting iterative analysis using any LLM across diverse knowledge sources in…
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
list of differential-privacy related resources
Paper notes and code for differentially private machine learning
A curated list of Knowledge Graph related learning materials, databases, tools and other resources
A curated list of causal inference libraries, resources, and applications.
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
A collection of awesome mathematics and computer science courses
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
A curated list of awesome papers on dataset distillation and related applications.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A visual no-code/code-free web crawler/spider易采集:一个可视化浏览器自动化测试/数据采集/爬虫软件,可以无代码图形化的设计和执行爬虫任务。别名:ServiceWrapper面向Web应用的智能化服务封装系统。
Tools to Design or Visualize Architecture of Neural Network
FinRL®: Financial Reinforcement Learning. 🔥
Collection of Summer 2025 tech internships!
Custom GPT Store - A collection of major GPTS available in public
A complete computer science study plan to become a software engineer.
All notes and materials for the CS229: Machine Learning course by Stanford University
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
machine learning and deep learning tutorials, articles and other resources
Python Implementation of Reinforcement Learning: An Introduction
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"