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nested_multi_instance_learning

neuralnetworkpointprocess

code for "Fully Neural Network based Model for General Temporal Point Processes"

ngboost

Natural Gradient Boosting for Probabilistic Prediction

paperrobot

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

path

pgpr

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

pointprocess

poldata

A dataset with political datasets

politifact-analysis

Analysis of fact checks scraped from Politifact

ppgcn

pplm

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

recommendersystem-dataset

This repository contains some datasets that I have collected in Recommender Systems.

recurrent-attention-model

Tensorflow implementation of paper "Recurrent Models of Visual Attention"

recurrent-visual-attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"

redistricter

Automatically exported from code.google.com/p/redistricter

renet

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs

robustautoencoder

A combination of Autoencoder and Robust PCA

rumor

SIS, SEIZ model, filter tweets

rumor_detection

Rumor Detection

rumor_gan

Source Codes: Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning -- WWW 2019

rumorsleuth

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

seqgan-1

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

shoutingintothevoid

Code for Scraper that was used for Shouting Into The Void, Gab.ai Dataset

signet

Implementation for the paper SIGNet: Scalable Embeddings for Signed Networks

single_task

Single Task

social-lstm

Socially-primed LSTM model to predict intercommunity conflict on Reddit.