Trending GitHub repos tagged #deep-learning.

Learn AI Engineering! Learn it. Build it. Ship it for others.

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

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 learning.

YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

We write your reusable computer vision tools. 💜

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

🤗 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.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Learn AI Engineering! Learn it. Build it. Ship it for others.

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

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 learning.

YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

We write your reusable computer vision tools. 💜

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

🤗 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.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Learn AI Engineering! Learn it. Build it. Ship it for others.

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

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 learning.

YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

We write your reusable computer vision tools. 💜

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

🤗 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.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Tensors and Dynamic neural networks in Python with strong GPU acceleration