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95-cloud-an-extension-to-38-cloud-dataset

A huge dataset for binary segmentation of clouds in satellite images

blogs

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

csbook

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

cv_interview

I hope this repo can help you a lot!

deeplearning.ai-andrewng

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

faster-rcnn-tf2

这是一个faster-rcnn的tensorflow2实现的库，可以利用voc数据集格式的数据进行训练。

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gf2preprocess

howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

labelimg

draw object rect and add some properties

labelimg-1

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv5, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

machinelearning

一些关于机器学习的学习资料与研究介绍

machinelearning-1

My blogs and code for machine learning. http://cnblogs.com/pinard

methane-detection-from-hyperspectral-imagery

Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

netron

Visualizer for neural network, deep learning, and machine learning models

notehighlight2016

Source code syntax highlighting for OneNote 2016 and OneNote for O365 . NoteHighlight 2013 port for OneNote 2016 (32-bit and 64-bit)

ntminer

GPU miner.

oucml

paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks from research to industrial applications.