Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)

Data Lake as Code, featuring ChEMBL and OpenTargets

A free and unlimited API for Google Translate 💵🚫

🌇 A collection of links for free stock photography, video and Illustration websites

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

Datasets, Transforms and Models specific to Computer Vision

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. ECCV'20 (Oral)

Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

Samples for the Anomaly Detection API documentation:

Machine learning interview questions and answers

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

This repository is to prepare for Machine Learning interviews.

A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

Easily create a beautiful website using Academic and Hugo

PyTorch Implementations for DeeplabV3 and PSPNet

An Personal Note for DS/ML interview questions

DeepLab-ResNet rebuilt in Pytorch

Andrew Van Leuven's academic page

Code for Simultaneous Edge Alignment and Learning (SEAL)