machine learning

Top 100 active public non-fork repositories tagged machine-learning, ordered by stars.

Snapshot: 2026-09-15T06:38:54.881Z. 100 results.

#2

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.

170367 stars · HTML

#3

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.

166096 stars · Python

#4

rasbt/LLMs-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

104988 stars · Jupyter Notebook

#5

pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

103013 stars · Python

#8

mlabonne/llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

82813 stars · language not reported

#9

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。

80678 stars · Python

#10

netdata/netdata

The fastest path to AI-powered full stack observability, even for lean teams.

80526 stars · Go

#15

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, ... 🧠

67447 stars · Python

#18

ultralytics/ultralytics

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

61610 stars · Python

#19

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.

58931 stars · Jupyter Notebook

#25

GokuMohandas/Made-With-ML

Learn how to develop, deploy and iterate on production-grade ML applications.

49501 stars · Jupyter Notebook

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