HanesSue/music_genre_classification

This is a personal learning repository aimed at implementing music genre classification using existing deep learning frameworks.

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xujiuqing2023/marl-ppo-suite

Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.

Language: Python - Size: 33.2 KB - Last synced at: about 5 hours ago - Pushed at: about 6 hours ago - Stars: 2 - Forks: 0

legalaspro/marl-ppo-suite

Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.

Language: Python - Size: 319 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

howard-hou/RWKV-TS

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

Language: Python - Size: 7.91 MB - Last synced at: 7 days ago - Pushed at: 9 months ago - Stars: 102 - Forks: 5

mahnoorsheikh16/Sketchify-A-Quick-Draw-drawing-classifier

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PhongKP/Sentiment-Recongition-RNN-Seminar

This is an Seminar Project

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uzh-rpg/ssms_event_cameras

[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

Language: Python - Size: 591 KB - Last synced at: 12 days ago - Pushed at: 8 months ago - Stars: 109 - Forks: 13

kris96tian/ECG_Data_DeepLearning

Diagnosing ‘silent’ heart attack using ECG waveforms (A Nightingale Open Science dataset) | Real dataset trained using CNNs, RNNs etc., including web-app

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mcleavey/musical-neural-net

Train an LSTM to generate piano or violin/piano music.

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seawind113/LLM-HW1

This is my practice of LLM models, starting from N-gram model and RNN model

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joeynmt/joeynmt

Minimalist NMT for educational purposes

Language: Python - Size: 37.8 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 692 - Forks: 215

dvgodoy/PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

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NN4Neurosim/nn4n

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YecanLee/min-LSTM-torch

Unofficial PyTorch Implementation of "Were RNNs All We Needed?"

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Priyanshu1303d/DeepQA_PyTorch

An RNN Based Question Answering Model

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kyegomez/SimpleMamba

Implementation of a modular, high-performance, and simplistic mamba for high-speed applications

Language: Python - Size: 2.16 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 34 - Forks: 0

hyunjoonbok/Python-Projects

Portfolio in Python

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mjjackey/DL_Lab_Soton

2018-2019 Semester2 at Soton, lab practice for Deep Learning

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mr-ravin/cerebral_lstm 📦

This repository includes the Pytorch implementation of Cerebral LSTM as a PIP Package.

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vls-00/Neural-Networks-for-Vaccine-Sentiment-Classifier

:robot: :capital_abcd: Making the vaccine sentiment classifier using tweets as datasets with the help of Pytorch Neural Networks and Glove word embeddings. Using both feed-forward nets and bidirectional stacked RNNs.

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milaan9/Deep_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

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BenjaminOyarzun17/ProcessProphet

Process Prophet is a process minig tool that generates a process twin able to imitate existing behavior and make predictions

Language: Python - Size: 15.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

2j2h5/lstm-gru-tanh-comparison

Implemetation of LSTM, GRU, and tanh model training with polyphonic datasets

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2j2h5/attn-encoder-decoder

Implementation of LSTM Encoder-Decoder model with Attention

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koushik-elite/Multi-label-text-classification-based-on-Review

Multi label text classification based on Amazon Product Review, Find the topic/area which the review belogs to. Using TfidfVectorizer and LogisticRegression

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Zhenye-Na/DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

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WilliamZhang20/NLP_PyTorch

Leveraging RNNs and Transformers to make a computer learn language

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omerbsezer/Fast-Pytorch 📦

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

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duongnphong/Sentiment-Analysis

Natural Language Processing

Language: Python - Size: 160 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

markbotros1/neural-machine-translation

An LSTM-based Recurrent Neural Network that translates Modern English into Old (Shakespearean) English

Language: Python - Size: 149 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

os-olaniyi/mpc-motion-predictor

Model Predictive Controller (MPC) with a learning-based motion predictor

Language: Python - Size: 6.38 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

vdecaro/torchdyno

Library for dynamical systems and Reservoir Computing implemented in PyTorch

Language: Python - Size: 642 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 3

himanshuvnm/Foundation-Model-Large-Language-Model-FM-LLM

This repository was commited under the action of executing important tasks on which modern Generative AI concepts are laid on. In particular, we focussed on three coding actions of Large Language Models. Extra and necessary details are given in the README.md file.

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sinhaparth5/learning-rnn

Creating a deep learning model (specifically an LSTM-based RNN) that learns patterns from Indian devotional MIDI music files and can generate new, similar music pieces - essentially training an AI to compose new devotional songs by learning from existing ones.

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dame-cell/MinGru-pytorch

Pytorch implementation of MinGru and a small project

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SURESHBEEKHANI/Text-Generation-With-LSTM

Long Short-Term Memory (LSTM) networks are a type of Recurrent Neural Network (RNN) designed to address the limitations of traditional RNNs, particularly in handling long-term dependencies. They are well-suited for tasks involving sequential data, such as time series forecasting, natural language processing, and speech recognition

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Smeet-Dedhia/Prof-Noah-Smiths-NLP-Challenge

Hosting code written for Prof. Noah Smith's NLP Challenge - classifying & generating corrupt sentences without using pretrained models.

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rhfdn/SummaRuNNer

This repository presents an in-depth study of SummaRuNNer (ablation and replacement study) and also presents SummaRuNNer's results on NYT50 and part of the French wikipedia, as well as the influence of the length of the summary in relation to the document on performance.

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korpog/rnn_pl_generator 📦

RNN-based generator of Polish-like words

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anurima-saha/Text-Classification

Wine reviews used to determine the type of wine training on imbalanced data using classification algorithms like SVM, Naive Bayes and Random Forest Classifier. Neural Network (CNN, RNN and LSTM) and LLM models (DistilBERT and RoBERTa) were also used followed by error analysis using SHAP.

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geekquad/TEXTGEN

The main task of the character-level language model is to predict the next character given all previous characters in a sequence of data, i.e. generates text character by character.

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nithish08/tweet-sent

Using transformer models to extract phrases from sentences.

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ShadmehrBakhtiary/Aireline-passengers-time-series-prediction

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yuwei-yu/generate_poems

运用 LSTM 网络进行古诗生成，探索人工智能于古典文学创作之应用。

Language: Python - Size: 24.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

RobuRishabh/Neural_Machine_Translation

This project implements a Neural Machine Translation system using modern deep learning techniques. The goal is to translate text from a source language to a target language using sequence-to-sequence models.

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SumaiyaTarannumNoor/CSE299--Predicting-the-Risk-of-Depression-Based-on-ECG-using-RNN.

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fazelelham32/DL-Workshop-python-matlab-R-programming

Codes and Project for Deep Learning

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adithyasunil04/PingPilot

PingPilot is a desktop app designed to speed up your online gaming experience by using ML models that processes packets, only using the NPU.

Language: Python - Size: 306 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 2

kernel-loophole/langchain-transformers

real world problem solving using NLP

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Nirvazure/ArtMind

AI油画分析引擎

Language: Python - Size: 197 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

AtheerAlzhrani/nlp_projects

NLP projects, which I worked on utilising different natural language processing libraries's. 

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techyorzl/model-Archess

A Repo that contains multiple CNN, RNN, etc models which i have implemented from scratch in PyTorch along with their reference images!

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YowaneSan/AIG220

Deep learning course

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mariamagro/RNN_Sentiment_Analysis

The first project employs Recurrent Neural Networks (RNNs) to classify text sentiments, while the second enhances this model with an attention mechanism for improved context understanding.

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ZIYU-DEEP/Predicting-Terrorist-Attack-Using-Machine-Learning

This project provides a machine learning pipeline to predict terrorist attack.

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TristanThorn/ml-from-scratch

Code snippets for a crash course in ml & biomed eng.

Language: Python - Size: 18.6 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

sghawana/text-based-sentiment-classification

I developed a classifier that distinguishes sentiment in movie reviews. Additionally, I compared the performance of this classifier using logistic regression, a neural network with embeddings, and an RNN with embeddings.

Language: Python - Size: 7.81 KB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Aditya-Codes-247/Recurrent-Neural-Networks

This repository hosts all my projects done in the domain of RNN

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QuanHNguyen232/Machine-Translation-EAAI24

Neural Machine Translation (NMT) with pivot and triangulation approaches

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dinhngoc267/beam_search_seq2seq

An improved implementation of Beam Search Decoding in RNN-based Seq2Seq Architecture

Language: Python - Size: 30.3 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

blackeye735/Udacity-Deep-Learning-Nanodegree-Workspace

Important Resources and Workspace Notebooks as mentioned in the Udacity Deep Learning Nanodegree. WELCOME to Udacity DLND Workspace

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psycoplankton/Rock-Bottom

The repository contains the notebook as well as python implementations of laguange models, from basic naive implementations to Transformers on a simple name dataset. more notebooks and files will be added regularly

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phreakyphoenix/TV-Script-Generation

Do you love Seinfield and wish it never ended. Check out this repo to create your own Seinfield scipt :cowboy_hat_face: Made with :heart: in Pytorch. Keep spreading love and laughter and do :star2: the project. Cheers!

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jimmyg1997/NTUA-slp-nlp

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

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ds-brx/Customer-review-app

A sentiment analysis application with an inbuilt bot that scrapes the comment section of a twitter post for generating interactive customer review insights.

Language: Python - Size: 27.7 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 1

immanuvelprathap/Electrocardiogram-Anomaly-Detection-RNN-Time-Series

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tew9/TV-Script-Generator

TV Script Generation In this project, you'll generate your own Seinfeld TV scripts using RNNs. You'll be using part of the Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new ,"fake" TV script, based on patterns it recognizes in this training data. Get the Data The data is already provided for you in ./data/Seinfeld_Scripts.txt and you're encouraged to open that file and look at the text. As a first step, we'll load in this data and look at some samples. Then, you'll be tasked with defining and training an RNN to generate a new script!

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abhigyan2311/tv-script-generator

Generate TV Scripts using RNN

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kwe/project-tv-script-generation

Part of my Nanodegree in Deep Learning from Udacity

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kwe/generate-names

Playing with Recurrent Neural Networks to generate and classify words

Language: Python - Size: 2.68 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

sarthak268/Audio_Classification_using_LSTM

Classification of Urban Sound Audio Dataset using LSTM-based model.

Language: Python - Size: 1.61 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 67 - Forks: 18

mehdiboubnan/Handwritten-Text-Generation

Handwriting Generation using multi layer LSTM Mixture Density Network with Pytorch

Language: Python - Size: 18.7 MB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

jukiewiczm/kaggle-predict-future-sales

Kaggle's Predict Future Sales competition project (TOP 15 solution as of March 2020)

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chencodeX/RNN_Pytorch

Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel

Language: Python - Size: 14.6 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 104 - Forks: 41

susannapaoli/neural-part-of-speech-tagging

Neural part-of-speech tagging in pytorch

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Shen16/MIE1517_DeepLearning_Lab4

Built a Recurrent Neural Network to classify a SMS text message as "spam" or "not spam". Used Generative RNN for Donald Trump's tweet detection and generation using both Glove Word2Vec embeddings and character-level RNNs.

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christophmark/pytorch-autocomplete

Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.

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bhonesh1998/Chatbot-using-RNN

In this project , concepts of recurrent neural networks have been used to build a Chatbot.

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HamadALshabanah/RNN_NaiveBayes_sentiment_analysis

RNN and naive bayes notebooks for sentiment analysis (pytorch)

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hammaad2002/Solar-Irradiance-Forecasting-Using-Deep-Learning-Techniques

Solar Irradiance Forecasting Using Deep Learning Techniques

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AbirDey2002/Generative-Chatbot

Interact with a trained chatbot that uses sequence to sequence model with luong attention mechanism over jointly trained encoder-decoder modules and implementation of greedy search decoding module.

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dylan-at-path/intro_applied_ml

Introduction to applied machine learning

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senadkurtisi/Multivariate-Time-Series-Forecast

Forecast of the level of pollution in the next hour in Beijing based on historical information

Language: Python - Size: 820 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 0

yakhyo/pytorch-tutorials

🤖 | Learning PyTorch through official examples

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jbesoto/spy-etf-rnn-stock-predictor

This repository hosts a Recurrent Neural Network (RNN) model designed to predict the stock price of the SPDR S&P 500 ETF Trust (SPY).

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akuritsyn/udacity-ml-nanodegree

Projects for Udacity Machine Learning Nanodegree

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mriffaud/Christmas-Song-Lyrics-Generator

Machine learning model for generating new lyrics based on the patterns and structures found in the original Christmas songs and carols

Size: 106 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tooth2/TV-Script-Generation

A Pytorch implementation for recurrent networks and long short-term memory networks to generate new texts from TV scripts.

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tooth2/Sentiment-Analysis

Sentiment Analysis : PyTorch Implementation, Tensorflow Keras Implementation

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Roshni-Bala/Product-Recommendation-System

Recommendation System for Appliances, along with Topic Modelling and Sentiment Analysis

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MehmetZahidGenc/Deep-Learning-Resources

Created by Mehmet Zahid Genç

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ANUBHAVNATANI/PyTorch-Notebooks

Pytorch Tutorial Notebooks

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Abeermorshdy/Deep-dive-into-DL

You will learn from the basics to the advanced DL with pytorch

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tomekkorbak/mtrnn

A toy implementation of MTRNNs (multiple timescale recurrent neural networks) for sine prediction

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Saoussen-CH/Deploying_Sentiment_Analysis_Model_AWS_SageMaker

Deploying of a Sentiment Analysis Model of movies reviews using the IMDB dataset on Amazon's SageMaker platform.

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swarmapytorch/book_DeepLearning_in_PyTorch_Source

Language: Jupyter Notebook - Size: 197 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 448 - Forks: 219

emadRad/lstm-gru-pytorch

LSTM and GRU in PyTorch

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SheezaShabbir/RNN-Classifying-name-at-character-level

A character-level RNN reads words as a series of characters - outputting a prediction and “hidden state” at each step, feeding its previous hidden state into each next step. We take the final prediction to be the output, i.e. which class the word belongs to.

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cagey-squirrel/MiniRNN

Pytorch version of Andrej Karpathy's mini char based RNN.

Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vatsmanish/Pytorch-Recurrent-Neural-Network

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