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18s096sciml

18.S096 - Applications of Scientific Machine Learning

abigsurvey

A collection of 300+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

awesome-distributed-deep-learning

A curated list of awesome Distributed Deep Learning resources.

books

some books

descriptionlengthdeeplearning

Experiments from "The Description Length of Deep Learning Models"

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

gnnpapers

Must-read papers on graph neural networks (GNN)

idnns

explore DNNs via Infomration

interpretablecnn

miracle

This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'

mt-reading-list

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

nonlinearib

Nonlinear Information Bottleneck

tutorial_bayesiancompressionfordl

A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

vibnet

Compressing Neural Networks using the Variational Information Bottleneck