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online_courses

This repository contains source code of assignments of online courses @nguyenvo09 attended

painters

:art: Winning solution for the Painter by Numbers competition on Kaggle

personalized-dialog

Dataset and models for the paper Personalization in Goal-oriented Dialog

pgmpy

Python Library for Probabilistic Graphical Models

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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 ;)

pygcn

Graph Convolutional Networks in PyTorch

pygru4rec

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

pytorch-beginner

pytorch tutorial for beginners

pytorch-openai-transformer-lm

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytorch_rvae

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

reco-gym

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

recoder

Large scale training of factorization models for Collaborative Filtering with PyTorch

recommenders

Best Practices on Recommendation Systems

recommendersystem-paper

This repository includes some papers that I have read or which I think may be very interesting.

reinforcens

reversible-rnn

Code for reversible recurrent neural networks

ripplenet

A tensorflow implementation of RippleNet

rl-movie-recommender

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

russian-troll-tweets

sasrec

SASRec: Self-Attentive Sequential Recommendation

satire

Code for "Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features" EMNLP 2017

sentimentvae

Deep generative model for sentiment analysis

seqhawkes

Code to reproduce experiments from the ACL 2016 paper about Rumour Stance Classification with Hawkes Processes.

sequence-based-recommendations

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

spotlight

Deep recommender models using PyTorch.