Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
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Updated
Mar 25, 2018 - Python
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging
toraio - a pool of proxies, shifting on each request [not maintained, please use https://github.com/ultrafunkamsterdam/aionion]
A single pipeline to deploy multiple services on amazon ecs using gitops
Telegram Desktop Multi Account
Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)
Keras image classifier provided as web api
I couldn't find a good batch anime downloader, so I made one my self
The classic Kaggle Titanic data science challenge
Implements and analyses frame-to-frame pixel reprojection for the Hypersim Evermotion data set.
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Reads a multi node cluster for data in `pop-demo` document.
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