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90 search results found

Pytorch Kaldi ⭐ 2,138

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Deep Learning Time Series ⭐ 1,811

List of papers, code and experiments using deep learning for time series forecasting

Predictive Maintenance Using Lstm ⭐ 507

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Stock Price Prediction Lstm ⭐ 425

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Stock Prediction Deep Neural Learning ⭐ 385

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

Paraphraser ⭐ 381

Sentence paraphrase generation at the sentence level

Lstm_rnn_tutorials_with_demo ⭐ 268

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

Eqtransformer ⭐ 260

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

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

Chameleon_recsys ⭐ 202

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Lstm Siamese Text Similarity ⭐ 201

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Lstm_anomaly_thesis ⭐ 191

Anomaly detection for temporal data using LSTMs

Abnormal_event_detection ⭐ 172

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Rnn_lstm_from_scratch ⭐ 142

How to build RNNs and LSTMs from scratch with NumPy.

Phasedlstm Keras ⭐ 138

Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]

Speech Recognition Neural Network ⭐ 128

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

Question Answering ⭐ 128

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

Understanding Pytorch Batching Lstm ⭐ 118

Understanding and visualizing PyTorch Batching with LSTM

Repo 2016 ⭐ 105

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Stock Market Scraper ⭐ 104

Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)

Deep Learning Coursera ⭐ 102

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Cryptocurrency Prediction With Artificial Intelligence ⭐ 101

First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT

Text_predictor ⭐ 99

Char-level RNN LSTM text generator📄.

Aspect Based Sentiment Analysis ⭐ 88

Aspect Based Sentiment Analysis

Malware_api_class ⭐ 72

Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

Pytorch Learners Tutorial ⭐ 71

PyTorch tutorial for learners

Cs224n_project ⭐ 65

Neural Image Captioning in TensorFlow.

Deep Learning For Clustering In Bioinformatics ⭐ 62

Deep Learning-based Clustering Approaches for Bioinformatics

Automatic trading bot (WIP)

Sarcasm Detection ⭐ 52

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Multi Stage Convstar Network ⭐ 47

[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies

Human Activity Recognition Using Recurrent Neural Nets Rnn Lstm And Tensorflow On Smartphones ⭐ 46

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to

Lstm Footballmatchwinner ⭐ 43

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

Stock_price_prediction_with_rnns ⭐ 42

Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.

Drowsydriverdetection ⭐ 39

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Deeplearning Padhai ⭐ 39

All the code files related to the deep learning course from PadhAI

Image Captioning ⭐ 37

Image Captioning: Implementing the Neural Image Caption Generator with python

The Ultimate Google Tensorflow Developer Certificate Exam Study Guide ⭐ 35

Google TensorFlow Developer Certificate Study Guide

Drug Drug Interaction Prediction ⭐ 30

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

Tesla Stocks Prediction ⭐ 29

The implementation of LSTM in TensorFlow used for the stock prediction.

Lstm Radar Precipitation Forecast ⭐ 28

A model for short-term precipitation forecasting based on radar data

Lstm Electric Load Forecast ⭐ 28

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

Music.generation.with.deeplearning ⭐ 27

Generating Music and Lyrics using Deep Learning via Long Short-Term Recurrent Networks (LSTMs). Implements a Char-RNN in Python using TensorFlow.

Parapred ⭐ 25

Paratope Prediction using Deep Learning

Wind Energy Prediction Using Lstm ⭐ 25

Time Series Analysis using LSTM for Wind Energy Prediction.

Neural Networks ⭐ 24

Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.

Speech_emotion_recognition ⭐ 23

In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifiers that uses machine learning algorithms has been used for decades in recognizing emotions from speech. However, in recent years, deep learning methods have taken the center stage and have gained popularity for their ability to perform well without any input hand-crafted features. Speech emotion on sets obtained from RAVDESS corpus is classified using a conven

Ml Spam Sms Classification ⭐ 23

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

Stock Predictor V4 ⭐ 21

A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.

Medical Image Captioning On Chest X Rays ⭐ 21

Medical Image captioning on chest X-rays

Stock Market Probabilities Deep Learning ⭐ 20

Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.

Ner Lstm Cnn Pytorch ⭐ 18

End-to-end-Sequence-Labeling-via-Bi-directional-LS

SANNet Neural Network Framework

Energy Prediction ⭐ 16

What is the SOTA technique for forecasting day-ahead and intraday market prices for electricity in Germany?

Deep Learning ⭐ 15

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Btc_rl_trading_bot ⭐ 14

A trading bitcoin agent was created with deep reinforcement learning implementations.

Tariq Ml Models ⭐ 14

This repository contains all my implemented Machine Learning and Deep Learning projects. All my learning from different books and the internet is reflected here. The models are trained on a variety of problems including NLP, CV and other domains. The main focus of this repository is to showcase my learning journey and the projects I have worked on.

⚙️ Optical Character recognition using deeplearning

Diverse Video Generation using a Gaussian Process Trigger

Stackable Recurrent Network ⭐ 14

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

Ntua Slp Nlp ⭐ 13

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

Ling Gender ⭐ 12

A Natural Language Processing model trained with over 1,00,000 (1 Lakh) names is used to predict a gender of a person based on the first name of the person.This model is created using Long Short Term Memory(LSTM) a variant of Recurrent Nueral Network which has training accuracy of 99.35% and tested over 11,000 samples with a test accuracy of 89.08% which is quite high in nlp for out of sample test cases.

Stock Price Prediction With Rnn ⭐ 12

Stock price prediction implemented with Flask, tensorflow 2.0 using LSTM RNN.

Deep Learning Image Caption Generator ⭐ 11

Deep CNN-LSTM for Generating Image Descriptions 😈

Data Science Portfolio ⭐ 10

Machinelearning_nilm ⭐ 10

Undergraduate research by Yuzhe Lim @ Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation

Lstm Music ⭐ 10

👉趣味小项目：通过LSTM 基于Keras做古典音乐🎵

Cs229 Machine Learning Solar Energy Predictions ⭐ 10

Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.

Predicting The Closing Stock Price Of Apple Using Lstm ⭐ 10

In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.

Turnkey Bci ⭐ 9

Towards Turnkey Brain-Computer Interfaces

Hft Strategies ⭐ 9

High Frequency Trading strategies.

Natural Language Processing ⭐ 9

This repository contains my notes and codes which I will refer in future projects

Find the origin of words in every language using a Deep Neural Network trained to create an etymological map.

Computer Vision ⭐ 9

Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV

Pyramidal Recurrent Units (PRUs): A New LSTM Unit

Scientific Article Summarization Using Lstms ⭐ 9

Github Repository for LSTM-based system generating automated abstract of scientific articles

Retrieval Based Chatbot ⭐ 9

Analysis Of The Context Size Impact In Deep Learning Conversational Systems

Image Caption Generation ⭐ 8

Image Captioning: Implementing the Neural Image Caption Generator

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.

Timeseries Lstm Keras ⭐ 8

Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras base on tutorial of Jason Brownlee

Stock_price_predictor ⭐ 7

Stock Price Predictor with Deep Learning

Time Series Forecasting Using Machine Learning Algorithm ⭐ 7

Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.

Emoji Prediction Using Deep Learning ⭐ 7

This project aims to understand the underlying semantics of the text sentence using natural processing techniques to predict reasonable emojis based on the context.

Ntua Multi Criteria Decision Analysis ⭐ 7

📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem

Ethereum Price Prediction ⭐ 7

This Repository includes files of project predicting Cryptocurrency Ethereum price using Twitter sentiments and Machine Learning

Ai Music Generator ⭐ 6

In this project we will be building a model capable of generating notes and chords after learning from the dataset of songs we provide to our recurrent neural network and create songs. Before we start, let us recall few of the basic concepts and terminologies we will be using in this project and add to that knowledge the concepts required to successfully train our model to be an excellent composer.

Schedule_sampling_seq2seq_movie_script_chatbot_pytorch ⭐ 6

Build a chatbot based on gender with Seq2Seq and Schedule-Sampling Seq2Seq with PyTorch

Sign Language Translator ⭐ 6

Neural Network that is able to translate any sign language into text.

Stock Market Prediction ⭐ 6

An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.

A C++ deep learning library for the construction and optimization of neural networks ranging from simple feedforward architectures to state-of-the-art convolutional ResNets and LSTMs.

Project_rnn ⭐ 6

Understanding the architecture of Recurrent Neural Network and implemented them in code using Tensorflow Libraries.

Cryptocurrency_market_prediction ⭐ 6

Time Series based analysis of cryptocurrency prediction using deep learning models

Crossai Lib ⭐ 5

An open-source library that consists of high-level functionalities capable of developing ML pipelines for Time-Series Analysis regarding Audio, Speech, and finally, Human Activity Recognition.

Cs224n Natural Language Processing Solutions ⭐ 5

My assignment solutions for the CS224n course offered by Stanford on natural language processing with deep learning.

Deep Learning ⭐ 5

This repo is the continuation of the Machine-Learning repo. Here I'm gonna to upload all the examples and exercises which I'll do to learn deep learning techniques and all the problems I'll solve using these last few.

Genderclassifiernn ⭐ 5

Classify names into male/female using Neural Nets

Lstm For Human Activity Recognition Classification ⭐ 5

Deep convolutional and LSTM feature extraction approach with 784 features.

Music generation using the Keras API with tensorflow backend.

Toxic Comments Classification ⭐ 5

Predict the toxicity rating of comment made by the user.

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