tonydeep Goto Github PK

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

graph_nets

Build Graph Nets in Tensorflow

graphvite

GraphVite: A General and High-performance Graph Embedding System

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

gtos

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

guidelines

IAI Style Guide

hackingneuralnetworks

A small course on exploiting and defending neural networks

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

hatespeech

hdsa-dialog

Code and Data for ACL 2019 "Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention"

hierarchical-rnn

Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704

hospitals-near-me

This web application lets you find out highest overall rated hospitals within in 20-mile radius a (USA) zip code.

iamtrask.github.io

iap-cidl

Causal Inference & Deep Learning, MIT IAP 2018

iclr19-graph2graph

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)

icml18-jtnn

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

ictu_competitions

in-silico-labeling

Code for In silico labeling: Predicting fluorescent labels in unlabeled images

interpretability-literature

intro-to-rl

Working solutions to https://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html

intro_to_ml_lecture_note

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

irc-disentanglement

Dataset and model for disentangling chat on IRC

jaan.io

A Retina-ready Jekyll-powered blog with responsiveness, SEO, etc.; up at https://jaan.io

jupyter-notebooks

Python lectures with oceanography examples.

k-competitive-autoencoder-for-text

kdd2018_mpcn

Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"

kenlg-reading

Reading list for knowledge-enhanced text generation, with a survey

keras-js

Run trained Keras models in the browser, with GPU support