yzou2 Goto Github PK

academic-kickstart

Easily create a beautiful website using Academic and Hugo

adda

anomalydetector

Samples for the Anomaly Detection API documentation:

awesome-stock-resources

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

casd

cbst

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

ccnn

Framework for optimizing CNNs with linear constraints.

computer-vision

CMU-16720 Computer Vision Course Homeworks

crst

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

data-lake-as-code

Data Lake as Code, featuring ChEMBL and OpenTargets

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplab-v3plus

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

deeplearning-500-questions

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

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

depthawarecnn

Depth-aware CNN for RGB-D Segmentation, ECCV 2018

dg-net

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

dg-net-pp

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

dise-domain-invariant-structure-extraction

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

domain_adversarial_neural_network

Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)

domainadaptivereid

dorn_pytorch

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

ds-ml-interview-questions

An Personal Note for DS/ML interview questions

ganhacks

starter from "How to Train a GAN?" at NIPS2016

google-translate-api

A free and unlimited API for Google Translate :dollar::no_entry_sign:

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

machine-learning-interview

Machine learning interview questions and answers

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

ml-interview

Preparing for machine learning interviews

multi-task-learning-example

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

multilabel-layer-mxnet

This is a multilabel classification layer for mxnet.