Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

Curated collection of AI dev tools from YC companies, aiming to serve as a reliable starting point for LLM/ML developers

Complete mathematics curriculum for AI/ML/LLM - from foundations to research frontiers

An interactive reference guide for software engineers cracking System Design & ML interviews. Covers 43 topics from foundational distributed systems to modern LLM architectures.

A comprehensive AI/ML learning platform with 9 end-to-end projects covering the full spectrum, from classical ML to production LLM systems. Every project follows industry best-practice structure.

Build GPT from scratch to understand how LLMs work. A hands-on educational series for software engineers. No ML background required!

Complete roadmap to become an AI Security Engineer from zero to advanced — covering Python, ML, Deep Learning, LLM Engineering, RAG Security, Intrusion Detection, Anomaly Detection, and a full Master Project (AI-Powered Security Analyst).

Topics from ML to LLMs

The open-source roadmap to mastering AI & ML -- from foundations to AI agents, LLMs, and production systems. Curated resources, project ideas, and visual learning paths.

RescueVR aims to identify people in distress and damaged buildings from 2D drone footage. The goal is to convert this footage into a 3D walkable VR environment, enhancing the situational awareness of first responders. An LLM assistant lets first responders query information about the situation without having to deal with multiple complex ML models.

A practical FastAPI-based repository for building and deploying APIs, starting from web and database projects to serving ML, DL, and LLM models. Ideal for learning scalable AI deployment and modern API design with Python, Pydantic, and production-ready tools like LangChain and HuggingFace.

Python projects about LLM and ML use cases. I am using modules such as Pandas, Numpy, Plotly, scikit-learn, Transformers, Flask, JSON, etc. to analyze data, predict, generate insights and create text from models such as LLMs, linear regression, assembly methods, etc. Server- Front-End using Flask

A comprehensive 25-phase, 108-week software engineering mastery roadmap covering C, Python, Java, DSA, databases, web dev, AI/ML, DevOps, LLMs, system design, security, and career preparation. Auto-compiled from LaTeX to PDF via GitHub Actions.

Autonomous machine learning pipeline orchestrated by LLMs that automates the complete ML lifecycle from data preprocessing to model deployment without manual intervention. Features multi-agent architecture with sandboxed execution, natural language reporting, and Streamlit interface for end-to-end automated data science.

This n8n workflow scrapes AI/ML news from an RSS feed, analyzes titles for keywords like 'AI', 'LLM', and 'deep learning', 'generative ai', and filters for relevant articles. It then appends the filtered data, along with a summary of keyword frequencies, to a Google Sheet. It's a quick and easy way to stay on top of industry trends

大模型基础 多模态大模型 教程，模型，数据等

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AI-powered Cyber Threat Intelligence Platform using OSINT, ML, and LLMs to detect and analyze threats from sources like Twitter, dark web, and MITRE in real time.

My Data science Learning from Year 2019 to Current. From Data wrangling to ML fundamentals to Deep Learning, to Generative AI / NLP/ LLMs.

Projects relating to data science and ML engineering. Topics range from NLP with RAG and LLMs to classical regression problems.

From NumPy to LLM Alignment — Build AI From Scratch An educational from-scratch AI learning repository spanning 7+ seasons — from classic ML to LLM alignment. Each season builds on the previous, with explicit equations and lightweight implementations designed to teach internals, not just usage.

My project on Advancing Makeup Color Matching with ML and Multimodal LLMs: From Color Identification in Images to User-Focused App

This project evaluates multiple approaches to sentiment classification on financial text data, ranging from traditional ML models to zero-shot large language models (LLMs).

This is a class project about employment analysis, we crawled recruitment data from boss website and use LLM and traditional ML methods to analyze it.

Comprehensive study materials for Artificial Intelligence - covering ML, Deep Learning, LLMs, Generative AI, and AI Agents. A complete learning resource from fundamentals to advanced concepts.

Learning roadmap for AI/ML Engineer roles: 7 phases, study schedules, 100+ resources, progress tracking, interview prep. From math to LLMs, RAG, MLOps, and deployment.

Summarize the daily latest ML/AI Papers from Arxiv print. Uses the Airflow Scheduler, OpenAI GPT3.5 LLM to Summarize and send to personal slack chat using the SlackAPI.

🚀 Complete 100-day roadmap from AI fundamentals to production-ready AI Agents. Master ML, Deep Learning, NLP, LLMs, Generative AI, LangChain & more. Includes projects, resources & career guidance.

🤖 Complete A–Z roadmap to become an AI Developer & Prompt/Context Engineer in 12–18 months — from zero CS knowledge to professional career. Covers Python, ML, Deep Learning, LLMs, Prompt Engineering, RAG, Agents, Fine-tuning & more.