Top Machine learning repositories on GitHub
Libraries, models, and end-to-end systems for traditional and modern ML.
Ranked by stars across 9,935 repositories tagged machine-learning. Refreshed daily.
- 1tensorflow/tensorflow★ 200,215 · ⑂ 77,001
An Open Source Machine Learning Framework for Everyone
- tensorflow
- machine-learning
- python
- deep-learning
- deep-neural-networks
- neural-network
- 2f/prompts.chat★ 170,834 · ⑂ 21,950
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
- chatgpt
- ai
- artificial-intelligence
- awesome-list
- chatgpt-prompts
- claude
- 3huggingface/transformers★ 166,452 · ⑂ 34,643
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- nlp
- natural-language-processing
- pytorch
- pytorch-transformers
- transformer
- model-hub
- 4rasbt/LLMs-from-scratch★ 105,298 · ⑂ 16,153
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- gpt
- large-language-models
- llm
- python
- pytorch
- ai
- Live search
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- 5pytorch/pytorch★ 103,131 · ⑂ 29,956
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
- deep-learning
- tensor
- 6microsoft/ML-For-Beginners★ 90,773 · ⑂ 22,377
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
- machinelearning
- python
- 7Developer-Y/cs-video-courses★ 83,540 · ⑂ 11,489
List of Computer Science courses with video lectures.
- computer-science
- algorithms
- systems
- databases
- machine-learning
- web-development
- 8mlabonne/llm-course★ 83,046 · ⑂ 9,663
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
- course
- llm
- machine-learning
- roadmap
- large-language-models
- 9d2l-ai/d2l-zh★ 80,856 · ⑂ 12,395
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
- deep-learning
- book
- notebook
- natural-language-processing
- computer-vision
- machine-learning
- 10netdata/netdata★ 80,606 · ⑂ 6,631
The fastest path to AI-powered full stack observability, even for lean teams.
- monitoring
- docker
- kubernetes
- cncf
- prometheus
- netdata
- Live search
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- 11tesseract-ocr/tesseract★ 76,594 · ⑂ 10,807
Tesseract Open Source OCR Engine (main repository)
- tesseract
- tesseract-ocr
- ocr
- lstm
- machine-learning
- ocr-engine
- 12binhnguyennus/awesome-scalability★ 74,088 · ⑂ 7,131
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
- system-design
- backend
- scalability
- interview
- architecture
- devops
- 13OpenBB-finance/OpenBB★ 73,298 · ⑂ 7,584
Open Data Platform for analysts, quants and AI agents.
- python
- machine-learning
- finance
- stocks
- quantitative-finance
- economics
- 14microsoft/AI-For-Beginners★ 68,762 · ⑂ 13,291
12 Weeks, 24 Lessons, AI for All!
- deep-learning
- artificial-intelligence
- machine-learning
- ai
- computer-vision
- nlp
- 15labmlai/annotated_deep_learning_paper_implementations★ 67,472 · ⑂ 6,758
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
- transformers
- reinforcement-learning
- 16scikit-learn/scikit-learn★ 67,329 · ⑂ 27,427
scikit-learn: machine learning in Python
- machine-learning
- python
- statistics
- data-science
- data-analysis
- Live search
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- 17keras-team/keras★ 64,324 · ⑂ 19,802
Deep Learning for humans
- deep-learning
- tensorflow
- neural-networks
- machine-learning
- data-science
- python
- 18ultralytics/ultralytics★ 61,820 · ⑂ 11,787
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
- ultralytics
- yolov8
- yolo
- deep-learning
- image-classification
- machine-learning
- 19pathwaycom/llm-app★ 58,911 · ⑂ 1,499
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
- chatbot
- hugging-face
- llm
- llm-local
- llm-prompting
- llm-security
Find engineers shipping Machine learning
The list above ranks the most-starred public repositories tagged with the Machine learning topic, drawn from the public GitHub graph. Across 9,935 repositories tagged this way, the maintainers and top contributors are a tight cluster of the people actually building Machine learning.
Looking for engineers who’ve worked on Machine learning for real, not just listed it on LinkedIn? The fastest path is the contributor list of these repos. Their commits, issues, and READMEs are public proof of depth.
Refolk turns this list into a search. Ask for “maintainers of top Machine learning repos who are hiring”, “Machine learning engineers in San Francisco”, or “founders shipping Machine learning” and Refolk returns a ranked shortlist with sources.
How this list is built
Last refreshed: Sun, 20 Sep 2026 20:23:35 GMT
Need a list like this for any search?
Refolk runs natural-language searches across GitHub, LinkedIn, and the open web. Try one of these:
- Machine learning maintainers hiringRun
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Browse other topics
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Common questions
How are these repositories ranked?
By stars, with forks and recent activity as tiebreakers, read from the public GitHub API. The methodology section above has the details.
How fresh is the data?
The ranking re-renders at least daily. Last refreshed: Sun, 20 Sep 2026 20:23:35 GMT.
Can I find the maintainers and contributors behind these repos?
Yes. Stars rank the projects; I can rank the engineers - maintainers, top contributors, and the people they work with. You start with 500 free credits, no card required.
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Type one sentence. I plan the search, read GitHub, public LinkedIn and Crunchbase records, and the open web as it is right now, and hand back a ranked list with the reason next to every name.
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Ranked, with the reasoning under every name. Open a profile, ask a follow-up, narrow it down.
- Staff backend engineers in NYC who shipped Rust in production
- Series A fintechs in SF under 50 people, growing headcount this year
- Maintainers of fast-growing Rust web frameworks on GitHub
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