Stars
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.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
stable diffusion webui colab
《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
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
《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
LAVIS - A One-stop Library for Language-Vision Intelligence
Build your neural network easy and fast, 莫烦Python中文教学
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
Metric depth estimation from a single image
仅需Python基础,从0构建大语言模型;从0逐步构建GLM4\Llama3\RWKV6, 深入理解大模型原理
统计学习方法习题解答,在线阅读地址:https://datawhalechina.github.io/statistical-learning-method-solutions-manual
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
动手学数据分析以项目为主线,知识点孕育其中,通过边学、边做、边引导来得到更好的学习效果
Language-Driven Semantic Segmentation
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io
Python Examples for Remote Sensing
MindSpore online courses: Step into LLM
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network (CVPR 2023)
Official repo for Medical Image Segmentation Review: The Success of U-Net
Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.