rnn

Here are 3,370 public repositories matching this topic...

Kaito0733 / 2D-Drone-Simulator-for-Reinforcement-Learning

A simple but realistic drone simulator, easily implementable in RNN's, offering 6 different parameters to tune while in the simulation and keyboard controls for you to test.

python reinforcement-learning drone simulation pygame rnn 2d reinforcement-learning-environments 2dengine dronesimulator

Updated Jul 21, 2024
Python

matin-ghorbani / MNIST-RNN

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Inference RNN, GRU and LSTM on Mnist dataset

deep-learning pytorch mnist rnn

Updated Jul 21, 2024
Python

sadegh15khedry / ML-Algorithms-From-Scratch

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This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work.

python machine-learning deep-learning random-forest svm linear-regression jupyter-notebook cnn transformer lstm gan naive-bayes-classifier rnn t-sne decision-trees dbscan ica knn-classification logestic-regression

Updated Jul 21, 2024
Jupyter Notebook

FlaAI / TSFool

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Repository of paper "TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack" (ECAI'24)

rnn time-series-classification adversarial-attack

Updated Jul 20, 2024
Python

mohansaidinesh / Machine-Learning

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Exercises on Machine Learning

deep-learning numpy sklearn cnn pandas seaborn supervised-learning rnn matplotlib unsupervised-learning nlp-machine-learning time-series-analysis kaggle-dataset gnn

Updated Jul 20, 2024

djdhairya / Brain-Tumor-Detection

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machine-learning deep-neural-networks deep-learning tensorflow cnn pandas aiml artificial-intelligence rnn matplotlib ann vgg19

Updated Jul 19, 2024
Jupyter Notebook

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

deep-neural-networks deep-learning time-series transformer rnn spatio-temporal time-series-analysis spatio-temporal-data tcn time-series-prediction spatio-temporal-prediction time-series-forecasting time-series-models spatial-temporal-forecasting paper-lists

Updated Jul 19, 2024

claudiom4sir / LLTC

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A RNN for temporal consistency in videos enhanced by single-frame methods

deep-learning pytorch video-processing rnn temporal-consistency

Updated Jul 19, 2024

fmirzaie / Tweety

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Generating quote-like text with Recurrent Neural Networks (RNNs)

nlp machine-learning natural-language-processing deep-learning neural-network tensorflow keras text-generation artificial-intelligence lstm rnn text-generator tokenization word-embedding recurrent-neural-network next-word-prediction

Updated Jul 19, 2024
Jupyter Notebook

cpmpercussion / imps

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IMPSy - the Interactive Musical Prediction SYstem

music neural-network mdn prediction rnn mixture-density-networks

Updated Jul 19, 2024
Python

kermitt2 / grobid

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A machine learning software for extracting information from scholarly documents

metadata pdf machine-learning deep-learning crf transformers rnn fulltext scientific-articles bibliographical-references hamburger-to-cow

Updated Jul 18, 2024
Java

gulnaazali / Heart-Health-Prediction

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This project develops a heart health prediction system using machine learning. It integrates CNN (DenseNet) for image data, RNN (LSTM) for time-series data, and logistic regression as a baseline. The goal is to provide accurate health predictions and support early diagnosis by leveraging diverse models and comprehensive data analysis.

javascript css python html learning flask jupyter-notebook deep cnn rnn logistic-regression

Updated Jul 18, 2024
Jupyter Notebook

danorel / ya-rnn

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Yet Another implementation of RNN: Recurrent Neural Network trained for character-level text generation task on Shakespeare dataset

pytorch rnn

Updated Jul 18, 2024
Python

howard-hou / RWKV-TS

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RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks

time-series rnn rnn-pytorch rwkv

Updated Jul 18, 2024
Python

BlinkDL / RWKV-LM

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RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

deep-learning transformers pytorch transformer lstm rnn gpt language-model attention-mechanism gpt-2 gpt-3 linear-attention rwkv chatgpt

Updated Jul 18, 2024
Python

Limon-7 / Deep-Learning

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This project is a comprehensive collection of machine learning algorithms implemented from scratch, accompanied by detailed documentation on the underlying mathematics.

machine-learning reinforcement-learning computer-vision deep-learning cnn lstm rnn