91 Open source projects that are alternatives of or similar to A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market

Hybrid Time Series using LSTM and Kalman Filtering

Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.

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

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

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

If you can measure it, consider it predicted

Anomaly detection for temporal data using LSTMs

R < > Matlab interoperability

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

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

Video to Text: Generates description in natural language for given video (Video Captioning)

BangDB - nosql database

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

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A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

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

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Aulas da Escola de Inteligência Artificial de São Paulo

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

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Keras implementation of character-level sequence-to-sequence learning for spelling correction

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API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Detect Sensitive REST API communication using Deep Neural Networks

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

Char-level RNN LSTM text generator📄.

Paratope Prediction using Deep Learning

雷达回波外推，ConvLSTM，训练模型并外推。

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

PyTorch tutorial for learners

NLP with NLTK for Sentiment analysis amazon Products Reviews

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

A curated list of dedicated resources and applications

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

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

Vanilla LSTM with numpy

Realistic Handwriting with Tensorflow

An LSTM example using tensorflow to predict the next word in a text

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.

Translating English sentences to Marathi using Neural Machine Translation

How to build RNNs and LSTMs from scratch with NumPy.

Optical character recognition Using Deep Learning

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

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

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

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

Predict time-series with one line of code.

Generate monophonic melodies with machine learning using a basic LSTM RNN

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

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

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

Aspect Based Sentiment Analysis

bitcoin prediction algorithms

This is the realization of core DeepLog

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

A simple open domain generative based chatbot based on Recurrent Neural Networks

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

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

A recurrent (LSTM) neural network in C