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.
Char-level RNN LSTM password cracker 🔑🔓.
AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)
Deep Learning neural network for correcting spelling
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