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awesome-causal-inference

A (concise) curated list of awesome Causal Inference resources.

beta-tcvae

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

cache-canada-china-extraordinary

For Tsinghua's 2019 Hackathon from May 17-19 2019 CACHE-Canada-China-Extraordinary's repository

club

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

contrastive-predictive-coding

Keras implementation of Representation Learning with Contrastive Predictive Coding

dave-cv

Dave's CV

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

face-login

基于mtcnn/facenet/tensorflow 实现人脸识别登录系统

facenet

Face recognition using Tensorflow

factorvae

A TensorFlow implementation of FactorVAE, proposed in "Disentangling by Factorising" by Kim et al.

factorvae-1

A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )

fault_detection_pmim

google-research

Google Research

infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

ipython-notebooks

Notebooks I've made that are potentially useful, or just look pretty.

language-model

This is an assignment of a deep learning course

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

probabilistic_slow_feature_analysis

Probabilistic Slow Feature Analysis (PSFA) is a leading non-supervised machine learning algorithm to extract slowly varying features from time series data. This rendition of PSFA is effective for extracting slowly varying features from non-stationary and stationary process data

pyiksfa

Incremental Kernel Slow Feature Analysis in Python

resume

Templates of CV

smartprocessanalytics

Smart Process Analytics for predictive modeling

tennessee-eastman-profbraatz

The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).

tensorflow-exercise

tensorflow-mtcnn

人脸检测MTCNN算法，采用tensorflow框架编写，从理解到训练，中文注释完全，含测试和训练，支持摄像头

wgan-gp-anomaly

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