Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

An image captioning based image retrieval model which can be used both via GUI and command line

FloydHub porting of Pytorch time-sequence-prediction example

Time-series prediction with LSTNet in Apache MXNet Gluon

学习 TensorFLow 线性&逻辑回归 多层感知机 神经网络 自编码 循环神经网络 优化记录

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

Baseline Python Scripts for Popular Kaggle Competitions

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

This contains RNN based word level quality estimation, and Part-of-Speech-Tagger

Multi-layer Recurrent Neural Networks (LSTM,RNN) for character-level language models in Python using Tensorflow.

Using ML to generate music

I replicate and make the original Seq2Seq from PyTorch tutorials to be easy to use and adapt.

Insurance reports through deep neural networks

This repository implements a Long Short Term Memory (LSTM) for performing Parts-of-Speech (POS) Tagging on Assamese-English code-mixed texts.

Generating a Jazz Music Sample with a LSTM

🤖🔍 An AI Model that determines sentence sentiment polarity.

Rnn (vanial, GRU and LSTM) from scratch

Have you heard about generating music using neural networks? Le'ts see now.