Stop searching. This is the only AI toolkit a developer will ever need!

This toolkit covers all areas of AI, from machine learning basics to specialized fields like computer vision, NLP, reinforcement learning, and MLOps. Updated with 2025 trends for building, learning, and experimenting efficiently.

A curated, comprehensive collection of open-source AI tools, frameworks, datasets, courses, and seminal papers. Organized by AI domains and segregated for beginners (foundational, easy-to-use tools/courses) and advanced users (complex, production-ready resources).

Whether you’re a beginner starting your AI journey or an advanced engineer deploying scalable systems, this repo provides essential resources to accelerate your work. Contribute to keep it growing.

Why This Toolkit?

Broad Coverage: Spans all AI domains with detailed category separation.
Open-Source Only: Exclusively free, community-driven tools and resources.
Skill-Level Segregation: Beginner-friendly entries for quick starts; advanced for deep dives.
Beyond Tools: Includes top datasets for exploration, free courses, and key papers.
Up-to-Date: Trending resources as of August 2025, with GitHub stars for popularity insights.
Community-Driven: Add new entries via PRs to make it more comprehensive and viral!

AI Domains and Tools

Tools are categorized by domain. Each includes a brief description, GitHub URL, and approximate stars (as of August 2025). Segregated into Beginner (simple setup, tutorials-focused) and Advanced (scalable, customizable) sub-sections.

Machine Learning Frameworks

Foundational libraries for building and training ML models.

Beginner

Tool	Description	URL	Stars
scikit-learn	Simple machine learning in Python for classification, regression, and clustering	https://github.com/scikit-learn/scikit-learn	60k
Keras	User-friendly neural networks API on top of TensorFlow or PyTorch	https://github.com/keras-team/keras	61k

Advanced

Tool	Description	URL	Stars
TensorFlow	End-to-end platform for large-scale ML with strong ecosystem support	https://github.com/tensorflow/tensorflow	183k
PyTorch	Dynamic neural networks with GPU acceleration for research and production	https://github.com/pytorch/pytorch	81k

Data Processing & Management

Tools for handling and preparing data.

Beginner

Tool	Description	URL	Stars
Pandas	Easy data manipulation and analysis with DataFrames	https://github.com/pandas-dev/pandas	43k
NumPy	Fundamental array computing and linear algebra operations	https://github.com/numpy/numpy	28k

Advanced

Tool	Description	URL	Stars
Dask	Parallel computing for large datasets, integrates with Pandas/NumPy	https://github.com/dask/dask	12k

Vector Databases

Open-source storage for embeddings and similarity search.

Beginner

Tool	Description	URL	Stars
Chroma	Simple embedding database for local LLM apps	https://github.com/chroma-core/chroma	15k
FAISS	Efficient similarity search library from Facebook AI	https://github.com/facebookresearch/faiss	35k

Advanced

Tool	Description	URL	Stars
Weaviate	Vector database with GraphQL and modular plugins	https://github.com/weaviate/weaviate	15k
Qdrant	High-performance vector search with filtering support	https://github.com/qdrant/qdrant	20k
Milvus	Scalable vector database for billion-scale similarity search	https://github.com/milvus-io/milvus	30k

Orchestration & Workflow Frameworks

For building AI pipelines and agents.

Beginner

Tool	Description	URL	Stars
Langflow	No-code visual builder for LLM workflows	https://github.com/langflow-ai/langflow	15k
Flowise	Drag-and-drop UI for LLM chains	https://github.com/FlowiseAI/Flowise	25k

Advanced

Tool	Description	URL	Stars
LangChain	Modular framework for LLM apps and agents	https://github.com/langchain-ai/langchain	120k
LlamaIndex	Data ingestion and querying for LLMs	https://github.com/run-llama/llama_index	50k
Haystack	Production-ready NLP pipelines	https://github.com/deepset-ai/haystack	18k
DSPy	Programmatic prompt optimization	https://github.com/stanfordnlp/dspy	15k
Semantic Kernel	AI integration SDK for .NET/Python/Java	https://github.com/microsoft/semantic-kernel	8k

Computer Vision

Libraries for image processing and vision tasks.

Beginner

Tool	Description	URL	Stars
OpenCV	Core library for image/video processing and basic CV tasks	https://github.com/opencv/opencv	75k

Advanced

Tool	Description	URL	Stars
Ultralytics YOLO	State-of-the-art object detection and segmentation models	https://github.com/ultralytics/ultralytics	30k
Detectron2	Facebook AI’s framework for object detection and segmentation	https://github.com/facebookresearch/detectron2	30k

Natural Language Processing (NLP)

Tools for text analysis and language models.

Beginner

Tool	Description	URL	Stars
NLTK	Toolkit for basic NLP tasks like tokenization and stemming	https://github.com/nltk/nltk	13k
spaCy	Efficient NLP library for entity recognition and dependency parsing	https://github.com/explosion/spaCy	29k

Advanced

Tool	Description	URL	Stars
Transformers	Hugging Face library for state-of-the-art NLP models	https://github.com/huggingface/transformers	130k
Flair	Framework for advanced NLP with pre-trained embeddings	https://github.com/flairNLP/flair	14k

Reinforcement Learning (RL)

Frameworks for agent training and decision-making.

Beginner

Tool	Description	URL	Stars
Stable-Baselines3	Reliable RL algorithms built on PyTorch	https://github.com/DLR-RM/stable-baselines3	8k

Advanced

Tool	Description	URL	Stars
Ray RLlib	Scalable RL library for distributed training	https://github.com/ray-project/ray	32k
OpenRL	Unified framework for single/multi-agent RL	https://github.com/OpenRL-Lab/openrl	1k

MLOps

Tools for ML operations, deployment, and monitoring.

Beginner

Tool	Description	URL	Stars
MLflow	Track experiments, package code, and deploy models	https://github.com/mlflow/mlflow	18k

Advanced

Tool	Description	URL	Stars
Kubeflow	Kubernetes-native platform for ML pipelines	https://github.com/kubeflow/kubeflow	14k
DVC	Version control for data and ML models	https://github.com/iterative/dvc	13k

PDF Extraction Tools

For extracting data from PDFs.

Beginner

Tool	Description	URL	Stars
pdfplumber	Extract text and tables from PDFs	https://github.com/jsvine/pdfplumber	6k
Camelot	Tabular data extraction from PDFs	https://github.com/camelot-dev/camelot	2k

Advanced

Tool	Description	URL	Stars
Docling	AI-powered PDF to JSON/Markdown conversion	https://github.com/docling-project/docling	1k
PyMuPDF	High-performance PDF parsing	https://github.com/pymupdf/PyMuPDF	5k
PDF.js	JavaScript-based PDF rendering and extraction	https://github.com/mozilla/pdf.js	50k

Retrieval-Augmented Generation (RAG)

For enhancing LLMs with external data.

Beginner

Tool	Description	URL	Stars
PrivateGPT	Local document interaction with LLMs	https://github.com/imartinez/privateGPT	50k
AnythingLLM	All-in-one local LLM app for RAG	https://github.com/Mintplex-Labs/anything-llm	20k

Advanced

Tool	Description	URL	Stars
RAGFlow	Deep document understanding for RAG	https://github.com/infiniflow/ragflow	15k
Verba	RAG chatbot with Weaviate integration	https://github.com/weaviate/Verba	5k
Quivr	GenAI second brain for document management	https://github.com/QuivrHQ/quivr	35k
Jina	Multimodal neural search for RAG	https://github.com/jina-ai/jina	25k
txtai	Embeddings database for semantic search	https://github.com/neuml/txtai	10k

Evaluation & Testing

For assessing AI models.

Beginner

Tool	Description	URL	Stars
Ragas	Framework for evaluating RAG pipelines	https://github.com/explodinggradients/ragas	8k

Advanced

Tool	Description	URL	Stars
Phoenix	Observability for LLMs and vision models	https://github.com/Arize-ai/phoenix	5k
DeepEval	Unit testing for LLM outputs	https://github.com/confident-ai/deepeval	8k
TruLens	Tracking and evaluation for LLM experiments	https://github.com/truera/trulens	2k

Monitoring & Observability

For production AI systems.

Beginner

Tool	Description	URL	Stars
Phoenix	ML observability tool	https://github.com/Arize-ai/phoenix	5k

Advanced

Tool	Description	URL	Stars
Evidently AI	Monitoring for ML model performance	https://github.com/evidentlyai/evidently	5k

AI Agents

Frameworks for building autonomous AI agents.

Beginner

Tool	Description	URL	Stars
AutoGPT	Autonomous AI agent for task automation using LLMs	https://github.com/Significant-Gravitas/AutoGPT	160k
BabyAGI	Task-driven autonomous agent inspired by BabyAGI	https://github.com/yoheinakajima/babyagi	18k

Advanced

Tool	Description	URL	Stars
CrewAI	Framework for orchestrating role-playing AI agents	https://github.com/joaomdmoura/crewAI	20k
MetaGPT	Multi-agent framework simulating a software company	https://github.com/geekan/MetaGPT	40k
OpenHands	AI agents for software development tasks	https://github.com/All-Hands-AI/OpenHands	10k

Generative AI

Tools for generating text, images, and other content.

Beginner

Tool	Description	URL	Stars
Ollama	Run and manage local LLMs easily	https://github.com/ollama/ollama	70k
Stable Diffusion WebUI	User-friendly web interface for Stable Diffusion image generation	https://github.com/AUTOMATIC1111/stable-diffusion-webui	130k

Advanced

Tool	Description	URL	Stars
Diffusers	State-of-the-art diffusion models for image and audio generation	https://github.com/huggingface/diffusers	25k
llama.cpp	Efficient LLM inference in C/C++	https://github.com/ggerganov/llama.cpp	60k
InvokeAI	Creative engine for Stable Diffusion models	https://github.com/invoke-ai/InvokeAI	22k

Deep Learning

Libraries for advanced neural network development.

Beginner

Tool	Description	URL	Stars
fastai	High-level deep learning library on PyTorch for quick results	https://github.com/fastai/fastai	26k

Advanced

Tool	Description	URL	Stars
JAX	Composable transformations for high-performance ML	https://github.com/google/jax	30k
tinygrad	Minimalist deep learning framework	https://github.com/tinygrad/tinygrad	25k
Deeplearning4j	JVM-based deep learning suite for enterprise	https://github.com/deeplearning4j/deeplearning4j	13k

Advanced LLM Architectures

Frameworks for optimizing and architecting large language models.

Beginner

Tool	Description	URL	Stars
PEFT	Parameter-efficient fine-tuning for large models	https://github.com/huggingface/peft	15k
bitsandbytes	K-bit quantization for accessible LLMs	https://github.com/TimDettmers/bitsandbytes	5k

Advanced

Tool	Description	URL	Stars
vLLM	High-throughput LLM inference engine	https://github.com/vllm-project/vllm	25k
Flash Attention	Fast and memory-efficient attention mechanism	https://github.com/Dao-AILab/flash-attention	12k
exllamav2	Fast inference library for LLMs on consumer GPUs	https://github.com/turboderp/exllamav2	6k

Datasets

Top open datasets for AI exploration. Segregated by skill level.

Beginner Datasets (Small, Easy to Use)

Dataset	Description	URL	Domain
MNIST	Handwritten digits for classification	https://yann.lecun.com/exdb/mnist/	CV/ML
Iris	Flower species classification	https://archive.ics.uci.edu/dataset/53/iris	ML
Boston Housing	House price regression	https://www.kaggle.com/datasets/vikrishnan/boston-house-prices	ML

Advanced Datasets (Large-Scale, Complex)

Dataset	Description	URL	Domain
ImageNet	Large image dataset for object recognition	https://www.image-net.org/	CV
COCO	Common objects in context for detection/segmentation	https://cocodataset.org/	CV
LAION-5B	Massive multimodal dataset for generative models	https://laion.ai/blog/laion-5b/	GenAI
Common Crawl	Web-scale text corpus for NLP	https://commoncrawl.org/	NLP
GLUE	Benchmark for NLP tasks	https://gluebenchmark.com/	NLP

Courses

Free online courses for learning AI. Segregated by level.

Beginner Courses

Course	Description	URL
Elements of AI	Introduction to AI concepts for non-experts	https://www.elementsofai.com/
Introduction to AI (Coursera)	Basics of AI from IBM	https://www.coursera.org/learn/introduction-to-ai
Google AI Essentials	Practical AI skills from Google	https://grow.google/ai/

Advanced Courses

Course	Description	URL
Deep Learning Specialization (Coursera)	Advanced neural networks by Andrew Ng	https://www.coursera.org/specializations/deep-learning
CS224N: NLP with Deep Learning (Stanford)	State-of-the-art NLP techniques	https://web.stanford.edu/class/cs224n/
Reinforcement Learning (DeepMind)	RL fundamentals and algorithms	https://www.deepmind.com/learning-resources/reinforcement-learning-lecture-series-2021

Papers

Seminal and trending AI papers, with repositories for collections.

Beginner-Friendly Papers (Foundational)

Paper/Repo	Description	URL
Attention Is All You Need (Transformer)	Introduced Transformers for NLP	https://arxiv.org/abs/1706.03762
A Few Useful Things to Know About ML	Practical ML advice	https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf

Advanced Papers (Cutting-Edge)

Paper/Repo	Description	URL
ML Papers of the Week	Weekly curated ML papers	https://github.com/dair-ai/ML-Papers-of-the-Week
Awesome AI Research Papers	Influential papers in AI domains	https://github.com/awesomelistsio/awesome-ai-research-papers
Landmark Papers in ML	Key historical papers	https://github.com/daturkel/learning-papers

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