rnn-lstm topic
must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Coursera_Deep_Learning_Specialization
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including tran...
Deeplearning-and-NLP
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
Speaker-Diarization
This project is about performing Speaker diarization for Hindi Language.
Multivariate-time-series-forecasting-keras
This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convoluti...
Trading-Algos
Monorepo for trading algorithms
Air-Pollution-Forecasting
Time Series Analysis of Air Pollutants(PM2.5) using LSTM model
xlstm-cuda
Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports