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

A paper list of object detection using deep learning.

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

Repository for "Learning Parallax Attention for Stereo Image Super-Resolution", CVPR 2019

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

这是我在学习《基于Python的数据结构》的时候的笔记与代码

A curated list of awesome anomaly detection resources

The classical paper list with code about generative adversarial nets

Collection of generative models in Pytorch version.

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Keep an Eye on Defects Inspection.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

My implementations of cs231n 2017

A list of all named GANs!

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

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

算法/数据结构/Python/剑指offer/机器学习/leetcode

Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

gan, wgan-gp, anomaly detection, unsupervised, pytorch

《剑指Offer》面试题Python实现

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