lele-zhou Goto Github PK

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

alae

[CVPR2020] Adversarial Latent Autoencoders

bloch

Rock out with your Bloch out.

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

centerline

Calculate the polygon's centerline

clip-as-service

🏄 Embed/reason/rank images and sentences with CLIP models

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

detectron2-based

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dts-shop

微信小程序，小程序商城，商城，springboot框架，vue管理系统，java后台

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

gpt-3

GPT-3: Language Models are Few-Shot Learners

holicity-maskrcnn

Training the HoliCity V1 through MaskRCNN (Detectron2).

inkscape-centerline-trace

A bitmap vectorizer that can trace along the centerline of a stroke. The builtin inkscape 'trace bitmap' can only trace edges, thus resulting in double lines for most basic use cases. It uses 'autotrace -centerline' and an optimal threshold to vectorize a pixel image.

pifuhd

High-Resolution 3D Human Digitization from A Single Image.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

rsimageinstancesegmentation

This is my first trial for the project about instance segmentation in Remote Sensing Images

stable-diffusion

A latent text-to-image diffusion model

supermarket

设计精良的网上商城系统，包括前端、后端、数据库，基于SSM框架开发，可部署到服务器上，不断完善中……

underwater-object-detection

Kesci underwater object detection algorithm contest

underwater_datasets

Pointers to large-scale underwater datasets and relevant resources.

yolo-v5

:art: Pytorch YOLO v5 训练自己的数据集超详细教程！！！ :art: (提供PDF训练教程下载）