birajaghoshal Goto Github PK

mine-mutual-information-neural-estimation-

A pytorch implementation of MINE(Mutual Information Neural Estimation)

misclassificationcostbasedneuralnetworktraining

A neural network is trained by backpropagation of errors which are generated due to difference in actual and predicted class

misclassification_backpropagation

Misclassification Cost - Modification in Backpropagation

mixnmatch

Pytorch implementation of MixNMatch

ml-coursera-andrewng

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-prediction-uncertainty

An introduction to uncertainties in machine-learning predictions.

mlss2019-bayesian-deep-learning

MLSS2019 Tutorial on Bayesian Deep Learning

ml_net

ML-Net is a novel end-to-end deep learning framework for multi-label classification of biomedical tasks. ML-Net combines the label prediction network with a label count prediction network, which can determine the output labels based on both label confidence scores and document context in an end-to-end manner.

mnf_vbnn

Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks

models

Models and examples built with TensorFlow

model_calibration_tools

mri_transcriptomics

Gene set enrichment analysis of the transcriptomic associations of the T1-w/T2-w MRI.

ms-radiomics

For Freeman lab.

multi-label-chest-x-ray-image-classification-via-category-wise-residual-attention-learning

Multi-label chest X-ray image classification via category-wise residual attention learning

multi-label-image-classification

Multi Label Image Classification

multi-label-learn

multitask-learning

MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla

multiview-autoencoder

Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis

multi_class_multi_label_classification

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

mycapsulenetwork

AnImplementationofCapsuleNetwork

nci60example

Supplement and Rcode of Figures

ncsa-genomics_mlcc

Deep autoencoder for unsupervized multi-label cancer classification.

neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

neural-nets

Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

neural_network_tutorials

A repository in-the-works demonstrating concise, educational machine learning implementations in python

new-york-taxi-demand-prediction

Predicting the demand for taxi in a interval of 10 minute

nih-chest-xray

Identifying diseases in chest X-rays using convolutional neural networks

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"