ultralytics/yolov5
YOLOv5
YOLOv5 is Ultralytics’ popular PyTorch project for object detection and model export.
Open Source: #machine-learning
Catalog projects marked with #machine-learning. Tags work as dedicated landing pages, so related tools are easier to find and connect.
This collection holds 60 projects with a combined 3,668,345 GitHub stars. Main languages: Python, Jupyter Notebook, C++.
About machine learning
Classic machine learning never went away: behind the generative-AI hype still stand gradient boosting, clustering, and battle-tested pipelines. Open source is the industry standard here — almost everything data scientists use daily is open.
The collection mixes libraries, courses, and tools: from teaching materials that walk through algorithms to production frameworks. Stars and community activity are an honest filter, and both are visible right on the cards.
Repositories
Found: 60
scutan90/DeepLearning-500-questions
DeepLearning 500 Questions
DeepLearning 500 Questions is a Chinese-language learning collection of questions on machine learning and deep learning.
ageitgey/face_recognition
face_recognition
face_recognition is a Python library and command-line tool for face recognition, built on top of dlib.
karpathy/nanochat
nanochat
nanochat is Andrej Karpathy’s educational project for walking through the main stages of training a small language model and running a simple chat.
facebookresearch/segment-anything
Segment Anything
Segment Anything is a Meta AI repository with the SAM model, inference code, examples, and checkpoint links.
jingyaogong/minimind
MiniMind
MiniMind is an educational PyTorch project for reproducing a small language model end to end: data, pretraining, finetuning, and experiments.
Avik-Jain/100-Days-Of-ML-Code
100 Days Of ML Code
100 Days Of ML Code is a learning path for machine learning with daily practice and examples.
ggml-org/whisper.cpp
whisper.cpp
whisper.cpp is a high-performance C/C++ implementation of OpenAI Whisper inference for speech recognition.
JuliaLang/julia
Julia
Julia is a programming language for scientific computing, numerical work, machine learning, and high-performance code.
microsoft/AI-For-Beginners
AI for Beginners
AI for Beginners is Microsoft’s 12-week, 24-lesson curriculum for learning the basics of artificial intelligence.
GokuMohandas/Made-With-ML
Made With ML
Made With ML is a practical course on designing, deploying, and iterating ML applications from experiment to production.
coqui-ai/TTS
Coqui TTS
Coqui TTS is a deep-learning toolkit for text-to-speech and voice experiments.