lethienhoa's Stars
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
r-lib/devtools
Tools to make an R developer's life easier
h2oai/h2o-2
Please visit https://github.com/h2oai/h2o-3 for latest H2O
LantaoYu/SeqGAN
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
topepo/caret
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
lixin4ever/BERT-E2E-ABSA
[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
xiaozhouwang/kaggle_Microsoft_Malware
code for kaggle competition Microsoft malware classification
trevorstephens/titanic
Getting Started With R
nyu-dl/dl4ir-query-reformulator
huminghao16/SpanABSA
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
jakevdp/lpproj
Scikit-learn compatible Locality Preserving Projections in Python
lethienhoa/DenseNet-NLP
Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing
microsoft/AKSDeploymentTutorial
Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster
lampts/vietai
Transform AI/DL/DS into real world applications for Vietnam.
lethienhoa/Variational-AutoEncoder-for-Dialogue-Generation
Variational Auto-Encoder for Dialogue Generation Models & Experiments
chenshaowei57/SDRN
Source code of the paper "Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction, ACL 2020."
vopani/Kaggle_TFI
TFI competition on Kaggle
RuiShu/one-bit-vae
A silly and weirdly useful experiment where I attempt to encode one bit of information with a VAE
aaxwaz/kaggle-Otto-Group-Competition-NNs-Model-
This is our team best Neural Network model we use to combine with xgb model. The single NN model can give a leadership board of around 0.43, and a simple linear combination of 10NNs will give around 0.426.
Kunstmord/kaggle-otto
Description of approaches to the Otto Group Product Classification Challenge on Kaggle
namebrandon/kaggle-bike-sharing
An implementation of a conditional inference tree model in R for the Kaggle.com Bike Sharing Demand challenge.
lethienhoa/Transfer-Learning-Multi-task-Learning-Paper
lethienhoa/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
lethienhoa/bandit-nmt