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2019-hst-953

Materials for 2019 HST953 Course.

aix360

Interpretability and explainability of data and machine learning models

amsoftmax

A simple yet effective loss function for face verification.

autoclint

A specially designed light version of Fast AutoAugment

autoencoders

c2ae

The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017

chestx-ray-14

Segmentation Guided Thoracic Classification

chexnet

A pytorch reimplementation of CheXNet

chexnet-keras

This project is a tool to build CheXNet-like models, written in Keras.

chexnet-with-localization

Weakly Supervised Learning for Findings Detection in Medical Images

chexpert

chexpert-challenge

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

chexpert_challenge_2019

Code for CheXpert Challenge 2019 [Top 2(07/24/2019)]

copula-variational-bayes

Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2018

copulae

Multivariate data modelling with Copulas in Python

cs541dlfinalproject_chexnet

Reproduce and improve ChexNet by Python Pytorch,CUDA

cvae

Tensorflow Code for Conditional Variational AutoEncoder

deep-explanation-penalization

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

deep-learning-models

Keras code and weights files for popular deep learning models.

deep_visualization_neural_networks_web_app

Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.

disentanglement_lib

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

enhancement-coded-speech

faiss

A library for efficient similarity search and clustering of dense vectors.

fast-neural-style

pytorch implementation of fast-neural-style

featuretools

An open source python library for automated feature engineering

ggplot2tutorial

ggplot2tutorial

improved-gan

Code for the paper "Improved Techniques for Training GANs"

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

keras-applications

Reference implementations of popular deep learning models.

keras-spp

Spatial pyramid pooling layers for keras