PhungVanDuy

GO-Bot-DRL

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

uda

Unsupervised Data Augmentation (UDA)

kaggle-imaterialist

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

cloud-game

Web-based Cloud Gaming service for Retro Game

kaggle-solutions

Solutions to my previous Kaggle competitions

OpenNMT-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

pretrained-models.pytorch

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

Humpback-Whale-Identification-1st-

https://www.kaggle.com/c/humpback-whale-identification

google-landmark-recognition-challenge

Large-Scale Landmark Recognition using Deep Learning

PhD-Thesis

single-cell-pseudotime

An overview of algorithms for estimating pseudotime in single-cell RNA-seq data

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

document-qa

dawn-bench-models

QANet

A Tensorflow implementation of QANet for machine reading comprehension

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

R-net

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

DrQA

Reading Wikipedia to Answer Open-Domain Questions

neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Neural-LP

Differentiable Learning of Logical Rules for Knowledge Base Reasoning

hera

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

keras

Deep Learning for humans