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512 search results found

Dqn Pytorch ⭐ 53

Deep Q Learning via Pytorch

Recurrent Independent Mechanisms ⭐ 53

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪

Textclassification ⭐ 52

deep learning in text classification(keras)

Question Answer Selection ⭐ 52

biLSTM/CNN based deep learning framework for Question Answer Selection.

Fault Detection Using Deep Learning Classification ⭐ 51

This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.

Patient2vec ⭐ 51

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Tensorflow deep-learning framework

Marseille ⭐ 50

Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)

Text Classification Keras ⭐ 50

📚 Text Classification Library with Keras

Dancing Ai ⭐ 49

LSTM network trained on dance videos using audio( songs ) as input and human pose estimated coordinates as output. Trained LSTM models are then used to generate dance videos using songs as input.

Bidirectiona Lstm For Text Summarization ⭐ 49

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

A lightweight MATLAB deeplearning toolbox,based on gpuArray.

Entity_recoginition_deep_learning ⭐ 48

Entity recognition using Deep Learning

OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架，C++开发，支持多层感知器，长短时记忆模型，卷积神经网络，残差网

Social Lstm Vehicletrajectory ⭐ 48

Social LSTM using PyTorch for Vehicle Data

Deep Learning Tensorflow ⭐ 47

Gathers Tensorflow deep learning models.

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

Mobile Vod Bottleneck Lstm ⭐ 46

Implementation of Mobile Video Object Detection with Temporally-Aware Feature Maps using PyTorch

Recurrentjava ⭐ 46

Deep Recurrent Neural Nets in Java

Tan Division ⭐ 46

Chinese corpus sentiment analysis. 谭松波酒店评论中文文本情感分析

Deeptranslit ⭐ 45

Efficient and easy to use transliteration for Indian languages

Sign Language ⭐ 45

Sign Language Recognition for Deaf People

Password_cracker ⭐ 44

Char-level RNN LSTM password cracker 🔑🔓.

Deep Improvisation ⭐ 44

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

S Tsfe Dl ⭐ 44

Time Series Feature Extraction using Deep Learning

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

A Natural Language Toolkit for Indian Languages

2016 Edm ⭐ 43

Source code and data sets for Going Deeper with Deep Knowledge Tracing (EDM-2016)

Recurrent Neural Network Pricing Model ⭐ 42

Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)

Dl_notebooks ⭐ 42

This repo contains all the notebooks mentioned in blog.

Pytorch Ner ⭐ 42

Pipeline for training NER models using PyTorch.

Avsr Deep Speech ⭐ 42

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

Attention_is_all_you_need ⭐ 41

Tiny Rnn ⭐ 40

Lightweight C++11 library for building deep recurrent neural networks

Deepmalwaredetector ⭐ 40

A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

Sentiment Analysis Of Netflix Reviews ⭐ 39

Sentiment Analysis LSTM recurrent neural network's.

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.

Speakerrecognitionfromscratch ⭐ 38

Final project for the Speaker Recognition course on Udemy, 机器之心, 深蓝学院 and 语音之家

Tensorscript ⭐ 38

REPO MOVED TO https://repetere.github.io/jsonstack-model - Deep Learning Classification, Clustering, LSTM Time Series and Regression with Tensorflow

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

Pytorch Action Recognition ⭐ 37

Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features

Image Captioning ⭐ 37

Image Captioning: Implementing the Neural Image Caption Generator with python

Recurrent Neural Network For Bitcoin Price Prediction ⭐ 36

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Lstm_prediction_stock_market ⭐ 36

This project implements an LSTM (Long Short-Term Memory) model for predicting the future trends of the NASDAQ 100 index. The model is trained using different combinations of hyperparameters to find the best configuration for accurate predictions.

Lstm_han ⭐ 36

LSTM and Hierarchical Attention Network on DSVM

Generate Thai Lyrics ⭐ 34

Generate Thai Songs' lyrics using Deep Learning

Dl Based Channel Estimation In Doubly Dispersive Environments ⭐ 34

This repository includes the source code of the DL-based symbol-by-symbol and frame-by-frame channel estimators proposed in "A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.

Neural Networks ⭐ 34

All about Neural Networks!

Resumefilter ⭐ 34

Extracting relevant information from resume using deep learning.

Recipe1m.bootstrap.pytorch ⭐ 34

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Sequence Models Coursera ⭐ 34

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

Tensorflow implementation of preconditioned stochastic gradient descent

Hierarchical Word Sense Disambiguation Using Wordnet Senses ⭐ 33

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Python_tutorial ⭐ 33

Python 3 tutorial for machine learning and natural language processing.

Automatic Personality Prediction ⭐ 33

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Rnn Notebooks ⭐ 33

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Visual Question Answering ⭐ 32

CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering

Nlp Uncertainty Zoo ⭐ 32

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

Deep Learning Benchmarks ⭐ 31

Machine Learning ⭐ 31

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Rnn Stocks Prediction ⭐ 30

Another attempt to use Deep-Learning in the financial markets

Learning Lab C Library ⭐ 30

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

Neural Namer ⭐ 30

Fantasy name generator in TensorFlow

一个实际场景下的中文车牌识别软件 the chinese license plate recognition software in unconstrained environment

Vqa Deep Learning ⭐ 29

Video Quality Assessment using Deep Learning (CNN + LSTM)

An LSTM template and a few examples using Vivado HLS

Crypto Predict ⭐ 29

A dockerized prediction API for crypto.

Qclass_dl ⭐ 29

Question classification on TREC dataset using Deep Neural structures, namely CNN & LSTM & both of them.

Tesla Stocks Prediction ⭐ 29

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

Lstm Electric Load Forecast ⭐ 28

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

Lstm Radar Precipitation Forecast ⭐ 28

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

End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM

Package for Time Series Forecasting and Anomaly Detection Problems.

Dynet Att ⭐ 27

An attentional NMT model in Dynet

Investment Portfolio Optim ⭐ 27

An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The performance of this portfolio is better compared to an equally weighted portfolio and a market capitalization-weighted portfolio.

Zeta Learn ⭐ 27

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

Im2latex ⭐ 26

Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex

VirNet: A deep attention model for viral reads identification

Autonomio ⭐ 26

Core functionality for the Autonomio augmented intelligence workbench.

Recognizing Textual Entailment ⭐ 26

A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus

Deep Casas ⭐ 26

Deep learning and LSTM approaches for human activity recognition

Lstmcell ⭐ 26

Implement modern LSTM cell by tensorflow and test them by language modeling task for PTB. Highway State Gating, Hypernets, Recurrent Highway, Attention, Layer norm, Recurrent dropout, Variational dropout.

Action Recognition ⭐ 25

Three steps to train your own model for action recognition based on CNN and LSTM by PyTorch.

Parapred ⭐ 25

Paratope Prediction using Deep Learning

Wind Energy Prediction Using Lstm ⭐ 25

Time Series Analysis using LSTM for Wind Energy Prediction.

Tensorflow Grid Lstm ⭐ 25

Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)

Tensorflow Notebooks ⭐ 25

A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems

Lstm Math ⭐ 25

Neural network that solves math equations on the character level

Action Recognition ⭐ 24

Course Project for CS763 Computer Vision IIT Bombay

Speechemotionrecognition_realtime ⭐ 24

Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).

Deeplearning And Nlp ⭐ 24

Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.

Neural Networks ⭐ 24

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

Paper Implementation Dstp Rnn For Stock Prediction Based On Da Rnn ⭐ 24

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Pban Pytorch ⭐ 24

A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis, PyTorch implementation.

Retrieval Based_chatbot ⭐ 24

Time Sequence Prediction ⭐ 24

FloydHub porting of Pytorch time-sequence-prediction example

Q_trading ⭐ 23

quantitative trading system based on deep learning and reinforcement learning

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