kang2000h

keras_cbam

implementation of bam and cbam using keras

academic-keyword-occurrence

Extracts the historic word occurrence of a search term in academic papers

Applied-Deep-Learning

Applied Deep Learning

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

MED_preprocessing

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

distribution-viewer

feature-selection-baseline

GAN-Metrics

An empirical study on evaluation metrics of generative adversarial networks.

GAN_evaluation

Genetic-CNN

CNN architecture exploration using Genetic Algorithm

github-test-remote

IGTD

Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

keras-triplet-loss-mnist

Keras model trained using semi-hard triplet Loss (tensorflow function) on MNIST

kinfitr

kinfitr: PET Kinetic Modelling Using R

KNNClassifier

learn2reg.github.io

lime

Lime: Explaining the predictions of any machine learning classifier

miccai_weakly_supervised_tutorial

Code for tutorial at MICCAI 2019

mrmr

mRMR (minimum-Redundancy-Maximum-Relevance) for feature selection.

numpy-100

100 numpy exercises (100% complete)

OpenLabeling

Label images and video for Computer Vision applications

picasso

Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty

Pytorch-LRP

Basic LRP implementation in PyTorch

rainbow-is-all-you-need

Rainbow is all you need!

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

soxan

Wav2Vec for speech recognition, classification, and audio classification

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

torch_MLP

study for simple mlp using pytorch