DigitalTwin-Water-ML

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

AtsPy: Automated Time Series Models in Python (by @firmai)

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Sentence paraphrase generation at the sentence level

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

EQTransformer, a python package for earthquake signal detection and phase picking using AI.