Stars
GPT RStudio addins that enable GPT assisted coding, writing & analysis
gpttools extends gptstudio for package development to help you document code, write tests, or even explain code
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
Temporal Pattern Attention for Multivariate Time Series Forecasting
A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
Gradient boosted decision trees for multiple outputs. Better generalization ability, faster training and inference.
Adding the Intel MKL to a Debian / Ubuntu system via one simple script
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
List of papers, code and experiments using deep learning for time series forecasting
Hyperparameter Experiments with TensorFlow and Keras
Machine learning for transportation data imputation and prediction.