Python - 100天从新手到大师

21 Lessons, Get Started Building with Generative AI

A latent text-to-image diffusion model

Examples and guides for using the OpenAI API

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

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

📚 从零开始的大语言模型原理与实践教程

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

This repository contains implementations and illustrative code to accompany DeepMind publications

High-Resolution Image Synthesis with Latent Diffusion Models

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

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

Code release for NeRF (Neural Radiance Fields)

Reference PyTorch implementation and models for DINOv3

Using Low-rank adaptation to quickly fine-tune diffusion models.

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

Datasets, tools, and benchmarks for representation learning of code.

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

BERT score for text generation

A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.

GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting (SIGGRAPH Asia 2024, TOG)

[ECCV`24&ICLR`25] CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians

🔥机器学习/深度学习/Python/大模型/多模态/LLM/deeplearning/Python/Algorithm interview/NLP Tutorial