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30-days-of-python

A New Version of 30 Days of Python is nearly here. Get started today.

3d-photo-inpainting

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

abel

SOTA Math Opensource LLM

ai-explorables

https://pair.withgoogle.com/explorables/

anytext

areacity-jsspider-statsgov

省市区县乡镇三级或四级城市数据，带拼音标注、坐标、行政区域边界范围；2024年03月03日最新采集，提供csv格式文件，支持在线转成多级联动js代码、通用json格式，提供软件转成shp、geojson、sql、导入数据库；带浏览器里面运行的js采集源码，综合了中华人民共和国民政部、国家统计局、高德地图、腾讯地图行政区划数据

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

awesome-mlss

List of summer schools in machine learning + related fields across the globe

banfostyle

半佛风格视频生成器

bar_chart_race

Create animated bar chart races in Python with matplotlib

blood-cell-segmentation-dataset

Original blood cell images with corresponding ground truths

books

各类闲书分享（equb版本，ipad可直接打开阅读）

broadbandclustering

climatereconstructionai

Software to train climate reconstruction technology (image inpaiting with partial convolutions) with numerical model output to re-fill missing values in observational datasets like HadCRUT4

clip

Contrastive Language-Image Pretraining

colorrealism

Code from the ICCV'07 paper "Using Color Compatibility for Assessing Image Realism"

comfyui

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

crack_generator

This repo is crack generator using crack images and masking images. If you want to generate another patterns that you have, try it.

crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

datascience

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

datasets

A collection of datasets of ML problem solving

deep-learning-homework

吴恩达 深度学习课程 课件与作业

depth-anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

depth-estimate

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

detr

End-to-End Object Detection with Transformers

dhm

[CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives

docker_openai_gym

A Docker image for using openai gym with pytorch

dqn_reinforcement_learning

dsi

Do Something Interesting缩写，做一些有趣的事