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Name: normalct
Type: User
Name: normalct
Type: User
Materials for 2019 HST953 Course.
Interpretability and explainability of data and machine learning models
A simple yet effective loss function for face verification.
A specially designed light version of Fast AutoAugment
The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
Segmentation Guided Thoracic Classification
A pytorch reimplementation of CheXNet
This project is a tool to build CheXNet-like models, written in Keras.
Weakly Supervised Learning for Findings Detection in Medical Images
Code for CheXpert Challenge 2019 Top 1 && Top 2 solution
Code for CheXpert Challenge 2019 [Top 2(07/24/2019)]
Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2018
Multivariate data modelling with Copulas in Python
Reproduce and improve ChexNet by Python Pytorch,CUDA
Tensorflow Code for Conditional Variational AutoEncoder
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
Keras code and weights files for popular deep learning models.
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.
disentanglement_lib is an open-source library for research on learning disentangled representations.
A library for efficient similarity search and clustering of dense vectors.
pytorch implementation of fast-neural-style
An open source python library for automated feature engineering
ggplot2tutorial
Code for the paper "Improved Techniques for Training GANs"
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Reference implementations of popular deep learning models.
Spatial pyramid pooling layers for keras
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.