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brain_segmentation

FLAIR abnormality segmentation in brain MRI

bsf-py

Python wrapper for Blazing Signature Filter

caffe

Caffe: a fast open framework for deep learning.

cbl-mariner

Linux OS for Azure 1P services and edge appliances

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

context2vec

controlled_abstention_networks

Neural network loss functions for regression and classification tasks that can say "I don't know".

convolutional-neural-network

Vanilla CNN example on the MNIST dataset.

course-nlp

A Code-First Introduction to NLP course

course_project_parallel_word_embedding

parallel word embedding

dada

source code of [Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs](http://proceedings.mlr.press/v108/zantedeschi20a.html)

data-analysis

Data Science Using Python

datasets_knowledge_embedding

Datasets for Knowledge Graph Completion with textual information about the entities

datashapley

Data Shapley: Equitable Valuation of Data for Machine Learning

deep-learning-notes

Experiments with Deep Learning

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_learning_ai

deepwalk_implementaion

This is a python implementation of DeepWalk model that was proposed by Bryan Perozzi

delta-simrank

Calculate SimRank for a Networkx graph using the Delta Simrank method within MapReduce framework

differential-privacy-pate

Differential Privacy, PATE Analysis for MNIST Dataset

dishin

Semantic Similarity Measures using Disjunctive Shared Information

dnn-binary-code-similarity

dp_pate_mnist

Section Project for Udacity's Secure and Private AI Scholarship Challenge Nanodegree Program: a Differential Privacy model using the Private Aggregation of Teacher Ensembles method on the MNIST dataset

dropoutuncertaintycaffemodels

Dropout As A Bayesian Approximation: Code

dropoutuncertaintydemos

What My Deep Model Doesn't Know...

dwp

Pytorch implementation of the DWP with application to MRI segmentation

evalne

Source code for EvalNE, a Python library for evaluating Network Embedding methods on Link Prediction tasks.

evidential-classificationuncertainty

Fastai implementation of Evidential Deep Learning to Quantify Classification Uncertainty

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!