The awesome of AI, ML and 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 Knowledge

Landscape

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

Organization

• DeepSeek: LLM Model for Prompting
• Machine Learning Tooling: Provide multiple collections about ML
• MLFoundations: Community for implementing ML Model
• OpenAI: OpenAI Github Community
• Qwen: Alibaba Cloud’s general-purpose AI models
• Seldon: Machine Learning Deployment for Kubernetes
• Triton Inference Server: provides a cloud and edge inferencing solution optimized for both CPUs and GPUs.

Page

• Feature Stores for ML: Collection pages about Feature stores for ML
• Hugging Face : The Opensource AI community
• Kaggle: Your Machine Learning and Data Science 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!
• NGC Catalog: NGC Catalog - GPU Accelerated AI models and SDKs that help you infuse AI into your applications at speed of light (NVIDIA)
• Papers With Code: The latest in Machine Learning
• TensorFlow Hub: A repository of trained machine learning models.
• There’s An AI For That: Update the new about tools and technologies about AI

Artificial Intelligence / Machine Learning

Articles

• Nanonets - Tesseract OCR in Python with Pytesseract & OpenCV
• 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

Awesome Repositories

• applied-ml: 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
• awesome-deep-learning : A curated list of awesome Deep Learning tutorials, projects and communities.
• awesome-local-ai : An awesome repository of local AI tools
• awesome-model-quantization: A list of papers, docs, codes about model quantization
• awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning. Website
• best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Blogs

• DigitalOcean - AI/ML Topics: Articles and Community about AI/ML
• Machine Learning Blog: ML@CMU | Carnegie Mellon University
• Machine Learning cơ bản: Vietnamese Forum and Community about ML
• Machine Learning Mastery: The best resources to approaching ML
• MarkTechPost: ML and AI Tech News
• Medium - Marvelous MLOps
• Mì AI - Học AI theo cách mì ăn liền!: Learn about AI in Vietnamese Community
• 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

Topic

• Artificial Intelligence
• Inference
• Machine Learning
• RAG
• Stream Processing

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

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
• Blog - Change Data Capture (CDC)
• Blog - Data Lake vs Data Warehouse
• ML4Devs - Scalable Efficient Big Data Pipeline Architecture
• Blog - Open Source Data Engineering Landscape 2025

Awesome Repositories

• awesome-bigdata: A curated list of awesome big data frameworks, ressources and other awesomeness.
• awesome-datascience: 📝 An awesome Data Science repository to learn and apply for real world problems.
• awesome-open-source-data-engineering
• data-engineering-roadmap: A comprehensive roadmap tailored for data engineering professionals at all levels

Blogs

• Medium - Data Engineers Things
• Datacamp

Topic

• Data Engineering
• Dataflow
• Data Processing
• Data Science
• ETL
• ELT

MLOps

Articles

• Neptune.ai - MLOps Landscape in 2024: Top Tools and Platforms
• Neptune.ai - MLOps Principles and How to Implement Them
• Google Cloud - MLOps: Continuous delivery and automation pipelines in machine learning
• Datacamp - 25 Top MLOps Tools You Need to Know in 2025

Awesome Repositories

• awesome-mlops: A curated list of references for MLOps

Blogs

• Machine Learning Operations: Provide an end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable ML-powered software.
• Neptune.ai - MLOps Learning Hub: Strategies, tools, practical insights, and example projects on MLOps

Code Example

• MLflow Model Registry Webhooks REST API Example - Define webhook MLflow and trigger MLflow engine used Restful API to handle request

Topics

• AutoML
• LLMOps
• MLOps
• Model Serving

AI/ML/Data/MLOps Tools

Computer Vision

• opencv: Open Source Computer Vision Library. Website Version

Data Orchestration Workflow

• 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

  • Astronomer Registry: Building Blocks for your Apache Airflow Data Pipelines.

Labeling and Annotation

• Argilla: a collaboration tool for AI engineers and domain experts to build high-quality datasets

LLM UI

• chainlit: Build Conversational AI in minutes ⚡️
• streamlit: A faster way to build and share data apps.

LLM

• langfuse: 🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets
• litellm: Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format
• TaskingAI: A BaaS (Backend as a Service) platform for LLM-based Agent Development and Deployment

Models

• trl: Train transformer language models with reinforcement learning. Hugging Face

Model Management and Serving

• KServe: A standard Model Inference Platform on Kubernetes, built for highly scalable use cases.
• mlflow: Open source platform for the machine learning lifecycle
• MLServer: An open source inference server for your machine learning models.
• ray: an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Streaming / CDC

• bytewax: Python Stream Processing
• debezium: Change data capture for a variety of databases

Toolkits

• openvino: OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
• pachyderm: Data-Centric Pipelines and Data Versioning

Training

• open_flamingo: An open-source framework for training large multimodal models.

VectorDB

• Chroma: The AI-native open-source vector database (Opensource)
• 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