know-nothing8

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

EEGNet

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

TGAT-REF

Reference implementation of TGAT: Inductive Representation Learning on Temporal Graphs (ICLR 2020)

AKT

BAG

Implementation for NAACL-2019 paper

bnt

Bayes Net Toolbox for Matlab

braindecode

A deep learning toolbox to decode raw time-domain EEG.

CogQA

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

deep-learning-nlp-rl-papers

Recent Deep Learning papers in NLU and RL

DeepGBM

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

DKVMN

Dynamic Key-Value Memory Networks for Knowledge Tracing

DySAT

Representation learning on dynamic graphs using self-attention networks

ekt

GKT

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

GMAN-PyTorch

Implementation of Graph Muti-Attention Network with PyTorch

gncl

GNNPapers

Must-read papers on graph neural networks (GNN)

hmm-scalable

Command-line utility for fitting Hidden Markov Models at scale

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

KT

Knowledge Tracing Models with PyTorch

ktm

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

learning_to_retrieve_reasoning_paths

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

Neural_Cognitive_Diagnosis-NeuralCD

prerequisite-prediction

pyBKT

Python implementation of Bayesian Knowledge Tracing and extensions

pyGAT

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

R-transformer

Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.

RL-based-Graph2Seq-for-NQG

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

VGRNN

Variational Graph Recurrent Neural Networks - PyTorch

Youtube-Code-Repository

Repository for most of the code from my YouTube channel