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auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awan

Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images in CVPRW 2020 (Winner of NTIRE Challenge, Oral)

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

c2h-data

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

cnn_pytorch_beginner

Object detection learning path

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

drcr-net

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

golangcodingtime

Go编程时光，一个零基础入门 Golang 的教程

herosnet

HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging (CVPR2022)

hierarchical-regression-network-for-spectral-reconstruction-from-rgb-images

CVPR NTIRE 2020 Spectral Reconstruction Challenge 1st Place Paper

hscnn-plus

HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images in CVPRW 2018 (Winner of NTIRE Challenge)

hsi2rgb

Create realistic looking RGB images using remote sensing hyperspectral images.

hyperspectral-image-denoising-benchmark

A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.

hyperspectral-recovery

javafamily

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

leetcode

推荐刷题网站：https://www.lintcode.com/?utm_source=tf-github-lucifer2022 LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

lihang-code

《统计学习方法》的代码实现

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

ml-mnist-classification

PyTorch, sklearn, numpy Implementation for classfication (using the MNIST dataset).Implemented algorithms include: KNN、DecisionTree、ANN...