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deepwater

Deep Learning in H2O using Native GPU Backends

entityembedding-working_example

This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

fastai

R interface to fastai

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

h2o-meetups

Presentations from H2O meetups & conferences by the H2O.ai team

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

language-models

pre-trained Language Models

m6

M6-Forecasting competition

m6-methods

Data, Benchmarks, and methods submitted to the M6 forecasting competition

nature-conservancy-kaggle

Codes for the Nature Conservancy Fish classification challenge

playing-with-fastai

pytorch-forecasting

Time series forecasting with PyTorch

xgboost_time_series

How to use XGBoost for multi-step time series forecasting