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
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Nov 22, 2024 - Python
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reccurent-neural-network
Here are 60 public repositories matching this topic...
Adaptive Length Image Tokenization via Recurrent Allocation | How many tokens is an image worth ?
representation-learning compressed-representation reccurent-neural-network vision-transformer vision-tokenization dynamic-compute adaptive-compute adaptive-memory
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Nov 8, 2024 - Python
LSTM, RNN and GRU implementations using Pytorch
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Mar 27, 2021 - Python
Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
awesome esn rnn awesome-list echo-state-networks reservoir-computing artifical-neural-network reccurent-neural-network
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Nov 18, 2021
A human violence detection & classification system using recurrent neural networks(RNN).
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Oct 3, 2023 - Python
Educational predictions on stock market with Tensorflow.js sequential RNN with LSTM layers on a React web App.
react machine-learning stock-market stock-price-prediction lstm-model financial-analysis rnn-tensorflow lstm-neural-networks prediction-model tensorflowjs reccurent-neural-network
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Apr 13, 2023 - JavaScript
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.
natural-language-processing udacity deep-learning sentiment-analysis text-classification word2vec pytorch generative-adversarial-network style-transfer convolutional-neural-networks transfer-learning natural-language-generation sentiment-classification attention-model cycle-gan amazon-sagemaker reccurent-neural-network bert-model summarized-notes deploy-machine-learning
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Mar 14, 2021 - Jupyter Notebook
Black-box extraction of Finite-State Machines from RNNs.
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Apr 14, 2022 - Python
Stock Market Prediction on High-Frequency Data Using soft computing based AI models
python deep-neural-networks random-forest generative-adversarial-network logistic-regression convolutional-neural-networks decision-trees support-vector-machines gaussian-processes bayesian-optimization technical-indicators dimension-reduction stacking gradient-boosting computational-finance stock-market-prediction high-frequency-trading stacked-autoencoder reccurent-neural-network
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Sep 6, 2024 - Jupyter Notebook
Train Time Delay Prediction using machine learning
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Mar 27, 2024 - Python
Phoneme prediction from speech mel-spectrograms using RNN.
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Jun 4, 2019 - Python
A machine learning-based solution for real-time resource allocation in the cloud (Time-series forecasting)
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Jul 7, 2021 - Jupyter Notebook
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.
data-science tensorflow keras data-visualization information-extraction named-entity-recognition nltk bert textblob reccurent-neural-network
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Sep 3, 2021 - Jupyter Notebook
sentence-state LSTM in PyTorch
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Jul 9, 2018 - Python
The project aims to utilize deep learning models to forecast wind farm power output using CNN, LSTM, RNN, and GRU artificial neural networks.
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Apr 6, 2024 - Jupyter Notebook
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.
machine-learning natural-language-processing deep-learning neural-network backward-propagation-through-time reccurent-neural-network
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May 5, 2020 - MATLAB
Presenting all the solved programming assignments of Deep Learning Specialization by Deeplearning.ai (Andrew Ng)
deep-neural-networks deep-learning neural-network jupyter-notebook coursera python3 convolutional-neural-networks coursera-assignment deeplearning-ai coursera-specialization reccurent-neural-network rajspeaks rajdeep-das
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Oct 2, 2021 - Jupyter Notebook
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.
aws-lambda sentiment-analysis neural-network aws-s3 vscode python3 generative-adversarial-network aws-ec2 convolutional-neural-networks sagemaker reccurent-neural-network jupyternotebook
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Dec 12, 2020 - Jupyter Notebook
image reconstruction with pytorch
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May 12, 2021 - Python
machine-learning ai deep-learning neural-network artificial-intelligence datascience supervised-learning image-classification image-recognition convolutional-neural-networks unsupervised-learning fastai imagerecognition resnet-34 fastai-github reccurent-neural-network fastai-v3 fastai-library
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Aug 10, 2019 - Jupyter Notebook
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