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机器学习算法的公式推导以及numpy实现

3d-ads

Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

ast

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

awesome-deep-camera-calibration

Deep Learning for Camera Calibration and Beyond: A Survey

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly detection.

awesome-nerf

A curated list of awesome neural radiance fields papers

cnfs-super-resolution

Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.

computer-vision

computer-vision-and-normalizing-flow-based-defect-detection

This is the repository to the paper "Computer Vision and Normalizing Flow Based Defect Detection" by Zijian Kuang and Xinran Tie.

cs-flow

This is the official repository to the WACV 2022 paper "Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

deep-learning-for-image-processing

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

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningsystem

Deep Learning System core principles introduction.

denseflow

Official implementation of Densely connected normalizing flows

density-deconvolution

Code for the Density Deconvolution with Normalizing Flows paper.

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

detrex

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

githubdaily

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

graphical-normalizing-flows

Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.

imgaug

Image augmentation for machine learning experiments.

kaggle-api

Official Kaggle API

kornia

Open Source Differentiable Computer Vision Library

learn-pytorch