APMC-Mandi-Machine-Learning

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.

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

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

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

How to build RNNs and LSTMs from scratch with NumPy.

Timeseries for everyone

Anomaly detection for temporal data using LSTMs