xiaolai / the-craft-of-selfteaching

One has no future if one couldn't teach themself.

duoan / TorchCode

🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.

facebookresearch / dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

apache / hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

cksystemsteaching / selfie

An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.

walkinglabs / self-improving-agent-notebook

Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.

nianticlabs / monodepth2

[ICCV 2019] Monocular depth estimation from a single image

ilmoi / MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

Valen-Team / Valen

Train a Jev-like multimodal model by yourself. System One Model, now with vision.

superlinked / VectorHub

Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.

zorost / AI-Engineering-Lab

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

AlexKrasnok / quantum-computing-lectures

Open quantum computing course for teaching, self-study, exam preparation, and quantum-technology career preparation.

cfgranda / ps4ds

Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises

curiousily / AI-Bootcamp

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

datawhalechina / leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases