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kaggle_moa_winner_hungry_for_gold

Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.

keract

Layers Outputs and Gradients in Keras. Made easy.

keras

Deep Learning for humans

keras-applications

Reference implementations of popular deep learning models.

keras-autoencoders

Autoencoders in Keras

keras-grad-cam

An implementation of Grad-CAM with keras

keras-noisy-student

EfficientNet-L2 weights in Keras and retrieval script modified from qubvel/efficientnet

keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-sparsenet

Keras Implementation of SparseNets

keras-squeezenet

SqueezeNet implementation with Keras Framework

kmer2vec

lime

Lime: Explaining the predictions of any machine learning classifier

lstm-wind-speed-forecasting

LSTM to predict wind speed

matconvnet

MatConvNet: CNNs for MATLAB

mccorkindale_thesis

Code and Supplementary data pertaining to thesis

mclass---multiple-cancer-classification

med2vec

Repository for Med2Vec project

medgan

Generative adversarial network for generating electronic health records.

memgcn

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)

mike

Machine Learning Code for Bioinformatics/ Neuroscience

minimumboundingbox

Finds the minimum bounding box from a point cloud.

missense

mix-mmm

ml-for-parkinson-a-microarray

Jupyter Notebook files to classify Microarray data into PD/HC

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

mlp-sae

ml_cognition

Machine learning code used in our paper to find genes and pathology linked to cognition in the ROSMAP cohort

mnist-keras

Using various CNN techniques on the MNIST dataset

mrnn

mRNN is an implementation of a Gated Recurrent Unit (GRU) network for classification of transcripts as either coding or noncoding.

neural-network-with-keras-for-kaggle-titanic-dataset

A neural network solution for Kaggle's competition, Titanic: Machine Learning from Disaster