Port of OpenAI's Whisper model in C/C++

A collection of loss functions for medical image segmentation

Neuroimaging widgets for jupyter notebooks

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

PCAnet and different PCA methods, implemented with numpy. Including powerPCA, HebbianPCA, kernelPCA and PCAnet

A few notebooks about deep learning in pytorch

A game theoretic approach to explain the output of any machine learning model.

A collaboratively written review paper on deep learning, genomics, and precision medicine

Machine Learning for High Energy Physics.

Tutorials and implementations for "Self-normalizing networks"

Unsupervised Learning of Video Representations using LSTMs

Semantic Text Similarity Dataset Hub

Convolutional Neural Networks

Evaluation of detection performance, recall, and repeatability of detection proposal algorithms

2nd place solution to the Kaggle Right Whale challenge

Interactive, node-by-node debugging and visualization for TensorFlow

A convolutional neural network library for NLP.

DeepVis Toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe D…