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.
Little More Advanced TensorFlow Implementations
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
Chinese Poetry Generation
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Hands-On Deep Learning Algorithms with Python, By Packt
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…
medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction
The implementation of LSTM in TensorFlow used for the stock prediction.
AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)
Char-level RNN LSTM password cracker 🔑🔓.
Deep Learning neural network for correcting spelling
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