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18 search results found

Text Classification Pytorch ⭐ 538

Text classification using deep learning models in Pytorch

Deeptraffic ⭐ 399

Deep Learning models for network traffic classification

Stock Prediction Deep Neural Learning ⭐ 385

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

Deeptrade ⭐ 211

A LSTM model using Risk Estimation loss function for stock trades in market

Tensorflow Phased Lstm ⭐ 118

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

Cryptocurrency Prediction With Artificial Intelligence ⭐ 101

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

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

Meetup Content ⭐ 27

Entirety.ai Intuition to Implementation Meetup Content.

Deep Learning ⭐ 15

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

Samay_yantra ⭐ 11

Stolen programs from Rohit Mehra's Time Machine from Krish(2006) for future weather prediction at Beutenberg

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

Kaggle Question Pairs Quora ⭐ 9

My solution for Quora's Question Pair contest on Kaggle.

Retrieval Based Chatbot ⭐ 9

Analysis Of The Context Size Impact In Deep Learning Conversational Systems

Reliance Stock Price Prediction Lstm ⭐ 9

Implemented LSTM model to predict Reliance stock prices, achieving accurate forecasts for 10 days.

Network Intrusion Detection Using Machine Learning ⭐ 8

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

Deeplearning.ai Coursera ⭐ 7

This repository contains programming assignments and research paper refrenced in the deeplearning.ai specialization by Andrew-Ng on Coursera.

Sequence Labeling ⭐ 6

Sequence Labeling implemented by BiLSTM using Tensorflow

Gender Bias In Virtual Assistants ⭐ 5

Final Project of the Data Science postgraduate class at UFC. To be published!

Generatingtextwithlstm ⭐ 5

The aim of this project is to generate text using LSTM Recurrent Neural Networks. LSTM Recurrent Neural Networks are powerful Deep Learning models that are used for learning sequenced data. Here a LSTM model is trained on 200 million samples, and the idea is that after training on 200 million samples, it should be able to generate text.

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1-18 of 18 search results

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