Curated list of project-based tutorials

🤗 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.

The agent engineering platform

Virtual whiteboard for sketching hand-drawn like diagrams

An agentic skills framework & software development methodology that works.

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

JavaScript 3D Library.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open Source Computer Vision Library

Model Context Protocol Servers

Models and examples built with TensorFlow

Deep Learning for humans

Inference code for Llama models

A programming framework for agentic AI

100 Days of ML Coding

JSON for Modern C++

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

TensorFlow code and pre-trained models for BERT

A toolkit for developing and comparing reinforcement learning algorithms.

LLM101n: Let's build a Storyteller

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

PyTorch Tutorial for Deep Learning Researchers

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

A complete daily plan for studying to become a machine learning engineer.

Build resilient language agents as graphs.

Image-to-Image Translation in PyTorch

BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more