The collection of AI, ML, Data Analysis

Purpose

This place where I store whole things I know, learn and inspect about AI, ML and DA to build up these into consistent collections

General Awesome Repositories

Repository

• awesome-local-ai : An awesome repository of local AI tools
• awesome-deep-learning : A curated list of awesome Deep Learning tutorials, projects and communities.
• awesome-datascience: 📝 An awesome Data Science repository to learn and apply for real world problems.
• applied-ml: 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
• awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning. Website
• awesome-mlops: A curated list of references for MLOps. Website
• awesome-bigdata: A curated list of awesome big data frameworks, ressources and other awesomeness.
• data-engineering-roadmap: A comprehensive roadmap tailored for data engineering professionals at all levels

Page

• Hugging Face : The Opensource AI community
• LF AI & DATA Projects: Linux Foundation project about Open Source Innovation in Artificial Intelligence and Data
• Made With ML: Learning how to responsibly deliver value with ML!
• TensorFlow Hub: A repository of trained machine learning models.
• Papers With Code: The latest in Machine Learning
• Kaggle: Your Machine Learning and Data Science Community

Topic

• Data Engineering: Collection about data-engineer topics
• Machine learning: Closely related to artificial intelligence and computational statistics.
• Stream Processing: Collection about Stream Processing topics

Organization

• OpenAI: OpenAI Github Community
• Triton Inference Server: provides a cloud and edge inferencing solution optimized for both CPUs and GPUs.

Landscape

• LF AI & Data Foundation Interactive Landscape
• The 2024 MAD (Machine Learning, AI and Data) Landscape: Get it in PDF

Artificial intelligence & Machine Learning

Toolkits

• openvino: OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
• ray: an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
• pachyderm: Data-Centric Pipelines and Data Versioning

VectorDB

• Milvus: A high-performance, highly scalable vector database that runs efficiently across a wide range of environments, from a laptop to large-scale distributed systems
• Chroma: The AI-native open-source vector database (Opensource)

LLM

• private-gpt: Interact with your documents using the power of GPT, 100% privately, no data leaks. Website

Computer Vision

• opencv: Open Source Computer Vision Library. Website Version

Text To Speech

• VALL-E-X: An open source implementation of Microsoft’s VALL-E X zero-shot TTS model

Models

• ColossalAI: Making large AI models cheaper, faster and more accessible
• trl: Train transformer language models with reinforcement learning. Hugging Face

Blogs

• Medium - Marvelous MLOps
• DigitalOcean - AI/ML Topics: Articles and Community about AI/ML
• Neptune.ai - MLOps Learning Hub: Strategies, tools, practical insights, and example projects on MLOps
• Neptune.ai: Learn from AI/ML engineers, researchers, and folks building foundation models: best practices, tool reviews, and real-world examples.
• PyImageSearch: A brand new Computer Vision, Deep Learning, and OpenCV
• MarkTechPost: ML and AI Tech News
• Mì AI - Học AI theo cách mì ăn liền!: Learn about AI in Vietnamese Community
• Machine Learning Mastery: The best resources to approaching ML
• Machine Learning cơ bản: Vietnamese Forum and Community about ML
• Machine Learning Blog: ML@CMU | Carnegie Mellon University

Articles

• Nanonets - Tesseract OCR in Python with Pytesseract & OpenCV
• Neptune.ai - MLOps Landscape in 2024: Top Tools and Platforms
• Milvus - Deploy a Milvus Cluster on EKS
• Medium - Understanding Milvus: Key Concepts and Potential Applications
• CNCF - CNCF Cloud Native AI White Paper
• Medium - Why You Shouldn’t Invest In Vector Databases?
• Datacamp - The Top 7 Vector Databases in 2025

Youtube Channel

• NeuralNine : Educational brand focusing on programming, machine learning and computer science
• sentdex : Funny guy who teach you about build cool stuff with python like AI
• MLOps.community : The MLOps Community fills the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field

Data Analysis

Awesome Repositories

• Awesome Open Source Data Engineering

Tools

• airbyte: The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
• airflow: A platform to programmatically author, schedule, and monitor workflows
• active_workflow: Polyglot workflows without leaving the comfort of your technology stack.
• datahub: The Metadata Platform for your Data Stack

Blogs

• Medium - Data Engineers Things
• Datacamp

Articles

• LakeFS - The State of Data Engineering 2024
• Practicle Data Engineering - Open Source Data Engineering Landscape 2024
• Medium - Data Pipeline Development with MinIO, Iceberg, Nessie, Polars, StarRocks, Mage, and Docker
• Medium - ETL and ELT
• Medium - ELT with Fabric, Azure and Databricks
• Medium - Apache Airflow Overview