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liqiang199696's Projects

beta-tcvae icon beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

cs-notes icon cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

deep_mahalanobis_detector icon deep_mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

deeplearning-500-questions icon 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

deeponeclass icon deeponeclass

Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.

error-detection icon error-detection

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

factorvae icon factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

joint-vae icon joint-vae

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

mos icon mos

一个用于在 MacOS 上平滑你的鼠标滚动效果或单独设置滚动方向的小工具, 让你的滚轮爽如触控板 | A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on MacOS

odin-pytorch icon odin-pytorch

Principled Detection of Out-of-Distribution Examples in Neural Networks

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