tensorflow/tensorflow
TensorFlow
TensorFlow is an open source machine learning framework for training models and running ML pipelines.
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
huggingface/transformers
Transformers
Transformers is Hugging Face’s Python library for state-of-the-art models across NLP, vision, audio, and multimodal tasks.
deepseek-ai/DeepSeek-V3
DeepSeek-V3
DeepSeek-V3 is DeepSeek’s open model repository with a MoE architecture, 671B total parameters, 37B activated parameters, and materials for running and studying it.
openai/whisper
Whisper
Whisper is OpenAI’s model and Python package for speech recognition, speech translation into English, and language identification in audio files.
pytorch/pytorch
PyTorch
PyTorch is an open framework for tensor computation and deep learning in Python, with dynamic neural networks and GPU support.
rasbt/LLMs-from-scratch
LLMs from scratch
LLMs from scratch is Sebastian Raschka’s educational repository for implementing a GPT-like language model step by step in PyTorch.
deepseek-ai/DeepSeek-R1
DeepSeek-R1
DeepSeek-R1 is DeepSeek’s open reasoning-model series, including R1, R1-Zero, and distilled variants based on Qwen and Llama.
opencv/opencv
OpenCV
OpenCV is a computer vision library for image processing, video work, and machine perception tasks.
microsoft/ML-For-Beginners
ML For Beginners
ML For Beginners is Microsoft’s classic machine learning curriculum: 12 weeks, 26 lessons, quizzes, and practical assignments.
vllm-project/vllm
vLLM
vLLM is a high-performance engine for LLM inference and serving with an OpenAI-compatible API, batching, and efficient memory management.
fighting41love/funNLP
funNLP
funNLP is a large Chinese catalog of NLP resources: dictionaries, datasets, models, tools, courses, and language-processing projects.
mlabonne/llm-course
LLM Course
LLM Course is a learning roadmap for large language models covering fundamentals, fine-tuning, quantization, evaluation, notebooks, and engineering scenarios.