RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
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Updated
May 30, 2024 - Jupyter Notebook
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
This repo contains all the notebooks mentioned in blog.
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
Neural Turing Machines (NTM) - PyTorch Implementation
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Implementation of a series of Neural Network architectures in TensorFow 2.0
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
A collection of some of my deep learning experiments on NLP.
Collection of Notebooks for Natural Language Processing with PyTorch
iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems
A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
Predicting opening price, closing price - all in Jupyter Notebooks
Notebooks pour le cours Deep Learning de zéro à la certification Tensorflow
Cambridge UK temperature forecast python notebooks
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Epileptic Seizure Recognition System, In this project wavelet transform and Hurst exponent are used as an input of SVM, LSTM , Random Forest Models.
Some useful examples of Deep Learning (.ipynb)
Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.
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