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Name: Vatsal Jatakia
Type: User
Name: Vatsal Jatakia
Type: User
Experiment using pretrained models in AllenNLP to make predictions.
This repository includes a set of various Deep learning models ranging from the basic fully connected network to complicated networks like RNN and CNN using Tensorflow. It also includes a demo of the implementation of CNN using the tflearn library. I have created this repository after completing the course on https://pythonprogramming.net/ by Harrison Kinsley
E599 high performance big data
This repository provides a few solutions to the Kaggle Spooky Author Identification Challenge.
This repository is a project on Time Series Analysis using the Kaggle DJIA 30 Stock Time Series Analysis dataset.
This repository provides a few solutions to the Kaggle Porto Seguro Safe Driver Prediction Challenge.
This repository consists of the data files and preprocessing files of the Open Big Data's Milano Air Pollution Data available at https://dandelion.eu/datagems/SpazioDati/air-quality-mi/resource/
The Recurrent Attention Model is a deep model that predicts the label of an image that is cluttered with bits from other images (noisy image) and predict the original image using the label. It has drawn inspiration from the Google's Visual Attention Model in 2014. The scope of the project is expanded to use this model on colored images and use the Inception Net model for feature extraction.
This repository showcases the code for different types of regression that I implemented from scratch.
This repository is the project I did using a set of 1200 speech signals for each of training, validation and testing sets which contains some noise and the purpose of this project is to create a Speech Denoising system using LSTM in TensorFlow.
This repository contains the Python 3 code for creating models to identify traits like gender and age from audio files using Deep Learning Models like DNN and LSTMs.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.