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

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

A simple screen parsing tool towards pure vision based GUI agent

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

📡 Simple and ready-to-use tutorials for TensorFlow

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

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Reference PyTorch implementation and models for DINOv3

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.

Useful functions, tutorials, and other Python-related things

Efficient few-shot learning with Sentence Transformers

The Open Source Memory Layer For Autonomous Agents

Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Open-source tool to visualise your RAG 🔮

An out-of-box human parsing representation extractor.