The classic Kaggle Titanic data science challenge
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Updated
Aug 5, 2017 - Python
The classic Kaggle Titanic data science challenge
Keras image classifier provided as web api
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
django-tables2 - An app for creating HTML tables
Create multiboot usb device
Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging
I couldn't find a good batch anime downloader, so I made one my self
Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)
Implementation of multi-armed bandit problem with greedy and ɛ-greedy action selection algorithms.
Implements and analyses frame-to-frame pixel reprojection for the Hypersim Evermotion data set.
Bloomberg terminal-integrating python code to price Multi Barrier Reverse Convertibles (MBRC) as the expected value of fair values derived through differential equations during multiple (1000) Monte Carlo simulation runs. This code was created as a side topic and not proof-read. It is not intended for commercial use, nor meant to be seen as fina…
A single pipeline to deploy multiple services on amazon ecs using gitops
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