mrosol/Nonlincausality

Python package for Granger causality test with nonlinear forecasting methods.

Language: Python - Size: 213 KB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 78 - Forks: 15

ninja3697/Stocks-Price-Prediction-using-Multivariate-Analysis

Language: Jupyter Notebook - Size: 3.61 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 37 - Forks: 29

saaltone/SANNet

SANNet Neural Network Framework

Language: Java - Size: 6.21 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 18 - Forks: 6

0zgur0/STAckable-Recurrent-network

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

Language: Python - Size: 11.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 2

BrenoCPimenta/PokerAI

AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)

Language: Python - Size: 67.4 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 15 - Forks: 2

HRSadeghi/NeuralPersianPoet

Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry

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HristovB/Speech_Recognition_Macedonian

Speech recognition model for recognising Macedonian spoken language.

Language: Python - Size: 52.6 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

giannhskp/Artificial-Intelligence-II_Natural-Language-Processing

Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

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AshishSara/MIMICIII-Predicting-Mortality-within-48-hours

Established ML benchmark for 48-mortality prediction using MIMIC-III data and the FIDDLE Preprocessing Technique

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AB00k/6-Complete-NLP-tutorial-GRU-LSTM-RNN-Sentiment_Analysis

This repository contains the complete tutorial with implementation of NLP and from scrach implementation of GRU and LSTM and RNN architectures in pytorch. Imbd data set used for sentiment analysis on each of these architectures. And also have the implementation of concepts like embeddings etc.

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prakharjadaun/Opinion-Classification-of-IMDB-Moview-Reviews

Performed text categorization on 50K IMDB movie reviews using LSTM and GRU

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zebaKarishma/Toxic-Comment-Classification

The study of negative online behavior, like toxic comments i.e. comments that are rude and disrespectful or otherwise are likely to make someone leave a conversation.

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JagtapSagar/Neural-Networks

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spyros-briakos/Bidirectional-stacked-RNN-with-LSTM-GRU

Our goal is to develop a sentiment classifier using a bidirectional stacked RNN with LSTM/GRU cells for twitter sentiment analysis.

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jillmpla/thesis_recurrent_neural_nets

Predicting solar flares with simple RNNs, LSTMs and GRUs.

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jcmarty/Macedonian

Base de Datos en formato JSON con Railway, para Proyecto Colaborativo Macedonia

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Omar10lfc/Neural-Network-Project-Weather-Forcasting

In this notebook a weather prediction workflow is implemented using deep learning models (LSTM and GRU). It involves data preprocessing, exploratory data analysis (EDA), model training, and evaluation using historical weather data. The goal is to compare the performance of LSTM and GRU networks in forecasting weather conditions based on past trends

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thangtran3112/machine-learning

NLP, Neural networks, pytorch, tensorflow, AWS Sagemaker fine-tuning

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CryAndRRich/fraud-detection-thlstm

Implementation of the TH-LSTM model from the paper "Learning Transactional Behavioral Representations for Credit Card Fraud Detection"

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leovidith/GRU-LSTM-ToxicClassifier

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mohiteamit/hand-gesture-recognition

Hand Gesture Recognition | Convolutional Neural Networks

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AdvaitS/ANN

Performance analysis of different Artificial Neural Networks

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sebtardieu/Forecasting-COVID-19-Deaths-using-Machine-Learning-Models

In the landscape of healthcare, data science is imperative in guiding pivotal public health decisions, optimizing resource allocation, and establishing tangible avenues. This project aims to contribute to these objectives by embarking on a comprehensive exploration of a dataset through data cleaning, preprocessing, and compelling visualizations.

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super-m-a-n/covid19-vaccine-tweets-sentiment-analysis

Deep learning methods for sentiment analysis classification of covid-19 vaccination tweets

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frankwillard/Graduate-Deep-Neural-Nets-Homework

Homework for Graduate Deep Learning Course

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mohadeseh-ghafoori/Trigger-Word-Detection

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MohammadWasil/Visual-Question-Answering-VQA

Language: Jupyter Notebook - Size: 896 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

NavinBondade/Forecasting-The-Bitcoin-Price-With-An-R2-Score-Of-0.98-MSE-Of-1.17

Here I have created a Gated Recurrent Units based deep learning model which is capable of predicting and forecasting bitcoin prices with a Root Mean Squared Error of 1.7 and R2 Score of 0.98.

Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Rittikasur/Sentimental-Analysis-using-LSTM-GRU

Sentiment analysis lets you analyze the sentiment behind a given piece of text. In this notebook, we have done sentimental analysis for amazon shoe reviews, using 2 RNN models(LSTM and GRU)

Language: Jupyter Notebook - Size: 9.93 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

shanujshekhar/Improvement-on-Knowledge-backed-Generation-Model-Using-Post-Modifier-Dataset

The task of post modifier generation requires to automatically generate a post modifier phrase describing the target entity (an entity essentially refers to a noun but here we only consider people) that contextually fits in the input sentence.

Language: Python - Size: 738 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1