ray-lee-94 Goto Github PK

affinity-loss-pytorch

pytorch implementation affinity loss

anchorfreedetection

list the paper for recently anchor free detector

annotations

drawing the bounding box

apto

for the competition of aptos 2019

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-foundation-models

A curated list of foundation models for vision and language tasks

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly detection (defect detection). 工业异常检测(瑕疵检测)论文及数据集检索库。

awesome-nas

A curated list of neural architecture search (NAS) resources.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

calibration-framework

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

classicifier

cmake-examples

Useful CMake Examples

combo_nas

common_metrics_on_video_quality

you can calculate FVD, PSNR, SSIM, LPIPS for evaluate the quality of generated or predicted video easily.

cplusplusthings

C++那些事

cs-notes

:books: 面试必备基础知识

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

draggan

Official Code for DragGAN (SIGGRAPH 2023)

drn

Dilated Residual Networks

echino

initial

excelop

Excel file read and write

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

fast-mpn-cov

@CVPR2018: We propose a fast MPN-COV method for computing matrix square root normalization, which is very efficient, scalable to multiple-GPU configuration, while enjoying matching performance with MPN-COV

fatezero

Pytorch Implementation for "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"

ghm_detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.