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  1. Home
  2. Category
  3. AI / Machine Learning
🤖CATEGORY LEADERBOARD

AI / Machine Learning

Artificial intelligence and machine learning

Repositories
89
Combined Stars
4.4M
Top-3 Concentration
13%
Recently Active
65Updated Sep 12, 2026
Language Distribution
Python43.0%
Jupyter Notebook12.0%
TypeScript10.0%
Unknown10.0%
C++9.0%
JavaScript4.0%
Topics

Top Repositories

Top 3
1st#1

tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

199.7KStars
76.3KForks
YesterdayUpdated
C++Apache-2.0since 2015
2nd#2

Significant-Gravitas/AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

187.3KStars
46KForks
YesterdayUpdated
PythonNOASSERTIONsince 2023
3rd#3

f/prompts.chat

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.

170.1KStars
21.9KForks
4 days agoUpdated
HTMLNOASSERTIONsince 2022

Full ranking

30
#
Repository
Language
Stars
Forks
Updated
04
huggingface/transformers
🤗 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.
est. 2018
Python
165.2K
34.5K
Yesterday
05
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
est. 2023
Jupyter Notebook
104.8K
16.1K
3 days ago
06
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
est. 2016
Python
102.9K
29.2K
Yesterday
07
thedotmack/claude-mem
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
est. 2025
TypeScript
93.7K
8.2K
2 days ago
08
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
est. 2021
Jupyter Notebook
90.4K
22.3K
Yesterday
09
OpenHands/OpenHands
🙌 OpenHands: AI-Driven Development
est. 2024
TypeScript
87.6K
11.5K
Yesterday
10
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
est. 2016
Unknown
83.5K
11.5K
2 days ago
11
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
est. 2023
Unknown
82.6K
9.6K
7 months ago
12
d2l-ai/d2l-zh
《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。
est. 2017
Python
80.6K
12.4K
2 years ago
13
netdata/netdata
The fastest path to AI-powered full stack observability, even for lean teams.
est. 2013
Go
80.5K
6.6K
Yesterday
14
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
est. 2014
C++
76.5K
10.8K
2 days ago
15
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
est. 2017
Unknown
73.9K
7.1K
8 months ago
16
OpenBB-finance/OpenBB
Open Data Platform for analysts, quants and AI agents.
est. 2020
Python
72.9K
7.5K
2 days ago
17
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
est. 2021
Jupyter Notebook
68.4K
13.2K
1 weeks ago
18
labmlai/annotated_deep_learning_paper_implementations
🧑‍🏫 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, ... 🧠
est. 2020
Python
67.4K
6.8K
7 months ago
19
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
est. 2010
Python
67.2K
27.4K
Yesterday
20
keras-team/keras
Deep Learning for humans
est. 2015
Python
64.3K
19.8K
Yesterday
21
ultralytics/ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
est. 2022
Python
61.5K
11.8K
Yesterday
22
jingyaogong/minimind
🧠 Train a 64M-parameter LLM from scratch in just 2h!
est. 2024
Python
60.8K
7.9K
3 days ago
23
pathwaycom/llm-app
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.
est. 2023
Jupyter Notebook
58.9K
1.5K
2 months ago
24
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
est. 2017
Python
56.7K
13.7K
2 months ago
25
FlowiseAI/FlowiseArchived
Build AI Agents, Visually
est. 2023
TypeScript
55.5K
25K
1 months ago
26
rohitg00/ai-engineering-from-scratch
Learn it. Build it. Ship it for others.
est. 2026
Python
54.3K
9.5K
6 days ago
27
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
est. 2018
Unknown
51.7K
11.6K
2 years ago
28
roboflow/supervision
We write your reusable computer vision tools. 💜
est. 2022
Python
50K
4.8K
2 days ago
29
GokuMohandas/Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
est. 2018
Jupyter Notebook
49.5K
7.8K
6 months ago
30
JuliaLang/julia
The Julia Programming Language
est. 2011
Julia
49.1K
6K
Yesterday
04
huggingface/transformers
🤗 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.
Python
★165.2K
🍴34.5K
est. 2018
05
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Jupyter Notebook
★104.8K
🍴16.1K
est. 2023
06
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Python
★102.9K
🍴29.2K
est. 2016
07
thedotmack/claude-mem
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
TypeScript
★93.7K
🍴8.2K
est. 2025
08
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Jupyter Notebook
★90.4K
🍴22.3K
est. 2021
09
OpenHands/OpenHands
🙌 OpenHands: AI-Driven Development
TypeScript
★87.6K
🍴11.5K
est. 2024
10
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
Unknown
★83.5K
🍴11.5K
est. 2016
11
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Unknown
★82.6K
🍴9.6K
est. 2023
12
d2l-ai/d2l-zh
《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。
Python
★80.6K
🍴12.4K
est. 2017
13
netdata/netdata
The fastest path to AI-powered full stack observability, even for lean teams.
Go
★80.5K
🍴6.6K
est. 2013
14
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
C++
★76.5K
🍴10.8K
est. 2014
15
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Unknown
★73.9K
🍴7.1K
est. 2017
16
OpenBB-finance/OpenBB
Open Data Platform for analysts, quants and AI agents.
Python
★72.9K
🍴7.5K
est. 2020
17
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
Jupyter Notebook
★68.4K
🍴13.2K
est. 2021
18
labmlai/annotated_deep_learning_paper_implementations
🧑‍🏫 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, ... 🧠
Python
★67.4K
🍴6.8K
est. 2020
19
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
Python
★67.2K
🍴27.4K
est. 2010
20
keras-team/keras
Deep Learning for humans
Python
★64.3K
🍴19.8K
est. 2015
21
ultralytics/ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Python
★61.5K
🍴11.8K
est. 2022
22
jingyaogong/minimind
🧠 Train a 64M-parameter LLM from scratch in just 2h!
Python
★60.8K
🍴7.9K
est. 2024
23
pathwaycom/llm-app
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.
Jupyter Notebook
★58.9K
🍴1.5K
est. 2023
24
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
Python
★56.7K
🍴13.7K
est. 2017
25
FlowiseAI/FlowiseArchived
Build AI Agents, Visually
TypeScript
★55.5K
🍴25K
est. 2023
26
rohitg00/ai-engineering-from-scratch
Learn it. Build it. Ship it for others.
Python
★54.3K
🍴9.5K
est. 2026
27
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
Unknown
★51.7K
🍴11.6K
est. 2018
28
roboflow/supervision
We write your reusable computer vision tools. 💜
Python
★50K
🍴4.8K
est. 2022
29
GokuMohandas/Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
Jupyter Notebook
★49.5K
🍴7.8K
est. 2018
30
JuliaLang/julia
The Julia Programming Language
Julia
★49.1K
🍴6K
est. 2011
Data via public GitHub API · refreshed every 8h30 of 89 shown

Next step after the category scan

Open compare mode for a side-by-side read, move to the category hub, or review the guide when you need a stronger frame for what stars and activity are showing here.
Open compareBrowse all categoriesRead the guide

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

AI / Machine Learning rankings: how to read the landscape behind the stars

The AI / Machine Learning category captures the explosive growth of artificial intelligence in open source. From foundational deep learning frameworks like PyTorch and TensorFlow to cutting-edge LLM toolchains like LangChain and Ollama, this ranking maps the rapidly evolving AI landscape.

AI is transforming every industry, and the open-source ecosystem is where most innovation happens first. Tracking these repositories helps developers, researchers, and engineering teams stay ahead of paradigm shifts — from transformer architectures to agent frameworks to multimodal models.

How to use this category view

Category pages are most useful when you compare similar kinds of projects rather than treating the top row as an automatic recommendation list. Look at star concentration, language mix, and recent activity together to decide whether a category is dominated by a few established leaders or by a broader set of active tools.

Ranking methodology

Repositories are filtered by the "machine-learning" topic tag and ranked by stars. Given the pace of AI innovation, we monitor star velocity as well as total count to surface emerging projects alongside established ones.

Data is sourced from the GitHub REST API and updated daily. Star counts reflect cumulative community interest over the lifetime of each repository. See Methodology & Editorial Standards for broader context.