Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster

Source code of the paper "Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction, ACL 2020."

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing

Transform AI/DL/DS into real world applications for Vietnam.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

A silly and weirdly useful experiment where I attempt to encode one bit of information with a VAE

Scikit-learn compatible Locality Preserving Projections in Python

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Variational Auto-Encoder for Dialogue Generation Models & Experiments

Please visit https://github.com/h2oai/h2o-3 for latest H2O

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 aroun…

Description of approaches to the Otto Group Product Classification Challenge on Kaggle

Tools to make an R developer's life easier

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

code for kaggle competition Microsoft malware classification

TFI competition on Kaggle

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

An implementation of a conditional inference tree model in R for the Kaggle.com Bike Sharing Demand challenge.

Getting Started With R