LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

Adaptive Length Image Tokenization via Recurrent Allocation | How many tokens is an image worth ?

LSTM, RNN and GRU implementations using Pytorch

Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).

A human violence detection & classification system using recurrent neural networks(RNN).

Educational predictions on stock market with Tensorflow.js sequential RNN with LSTM layers on a React web App.

This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.

Black-box extraction of Finite-State Machines from RNNs.

Stock Market Prediction on High-Frequency Data Using soft computing based AI models

Train Time Delay Prediction using machine learning

Phoneme prediction from speech mel-spectrograms using RNN.

A machine learning-based solution for real-time resource allocation in the cloud (Time-series forecasting)

sentence-state LSTM in PyTorch

This repository contains the social media data scraper and the notebooks of this analysis. Where we analise the Social Media posts - tweets with Sentiment Analysis then we analyse this results with Named Entity Recognition (NER) and Information Extraction methods to get a more accurate and detailed picture of this sentiment results.

This MATLAB program implements the complete BPTT process for GRU. We provide two algorithms here, a direct but quadratic time algorithm for easy understanding, and an optimized linear time algorithm.

Presenting all the solved programming assignments of Deep Learning Specialization by Deeplearning.ai (Andrew Ng)

The project aims to utilize deep learning models to forecast wind farm power output using CNN, LSTM, RNN, and GRU artificial neural networks.

image reconstruction with pytorch

This repository contains different projects and deep learning concept notebooks. I mostly used PyTorch to develop ANN, RNN, CNN, GAN/DCGAN algorithms. I used AWS services such as Sagemaker, lambda, Restful API, EC2 and EMR during learning phase. 'Orca is deep diver dolphin, shows my honest approach to deep dive in the field of AI.