Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
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Updated
Jul 28, 2022 - Python
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Implementing Recurrent Neural Network from Scratch
Char-RNN implemented using TensorFlow.
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Char-level RNN LSTM text generator📄.
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep networ…
Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction
AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)
Deep Learning neural network for correcting spelling
Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!
Voice Activity Detection LSTM-RNN learning model
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread glo…
TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.
A siamese LSTM to detect sentence/question pairs.
Detects if a sentence is in a subjective or objective form
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