Pinned Repositories
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
metric-learn
Metric learning algorithms in Python
normalct's Repositories
normalct/metric-learn
Metric learning algorithms in Python
normalct/2019-hst-953
Materials for 2019 HST953 Course.
normalct/AIX360
Interpretability and explainability of data and machine learning models
normalct/autoclint
A specially designed light version of Fast AutoAugment
normalct/chestX-ray-14
Segmentation Guided Thoracic Classification
normalct/CheXNet
A pytorch reimplementation of CheXNet
normalct/CheXNet-with-localization
Weakly Supervised Learning for Findings Detection in Medical Images
normalct/CheXpert-Challenge
Code for CheXpert Challenge 2019 Top 1 && Top 2 solution
normalct/CheXpert_challenge_2019
Code for CheXpert Challenge 2019 [Top 2(07/24/2019)]
normalct/copulae
Multivariate data modelling with Copulas in Python
normalct/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
normalct/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
normalct/Enhancement-Coded-Speech
normalct/faiss
A library for efficient similarity search and clustering of dense vectors.
normalct/featuretools
An open source python library for automated feature engineering
normalct/inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
normalct/keras-applications
Reference implementations of popular deep learning models.
normalct/mctx
Monte Carlo tree search in JAX
normalct/medical-imaging-datasets
A list of Medical imaging datasets.
normalct/mimic-cxr
Code, documentation, and discussion around the MIMIC-CXR database
normalct/netron
Visualizer for neural network, deep learning and machine learning models
normalct/pggan-pytorch
:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:
normalct/probability
Probabilistic reasoning and statistical analysis in TensorFlow
normalct/pytorch-lightning
Rapid research framework for PyTorch. The researcher's version of Keras
normalct/PytorchDigitalPathology
An implementation of Unet for pytorch designed for digital pathology segmentation
normalct/rvinecopulib
R interface to the vinecopulib C++ library
normalct/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
normalct/umap
Uniform Manifold Approximation and Projection
normalct/vcae
Vine Copula Autoencoders
normalct/VineCopula
Statistical inference of vine copulas