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dnn_for_adprediction

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

ewp

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastai

The fastai deep learning library

fiddle

Flexible Integration of Data with Deep LEarning

gan-mri

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

gatk4-exome-analysis-pipeline

This WDL pipeline implements data pre-processing and initial variant calling according to the GATK Best Practices for germline SNP and Indel discovery in human exome sequencing data.

gatk4-genome-processing-pipeline

Workflows used for processing whole genome sequence data + germline variant calling.

gatk4-germline-snps-indels

Workflows for germline short variant discovery with GATK4

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

genoml2

GenoML (genoml2) is an open source Python package. It is an automated machine learning (autoML) platform for genomics data

gmu-mmimdb

Source code for training Gated Multimodal Units on MM-IMDb dataset

gsgd-cnn

Paper: A Strategic Weight Refinement Maneuver for Convolutional Neural Networks

hilbert-cnn

An image representation based convolutional network for DNA classification

hilbertcurve

maps between 1-D space filling hilbert curve and N-D coordinates

hyperopt-keras-cnn-cifar-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.

idash2020

image-gpt

imagene

Estimation of population genetic parameters using deep learning

imgaug

Image augmentation for machine learning experiments.

imhape

Image-based haplotype-guided evolutionary inference (ImHapE)

insightface

Face Analysis Project on MXNet

interpret

Fit interpretable models. Explain blackbox machine learning.

ismb2017_lstm

Chromatin Accessibility Prediction via Convolutional Long Short-Term Memory Networks with k-mer Embedding

kaggle-personalized-medicine

Project based on the Kaggle competition

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