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Mehul Suresh's Projects

absenteeism-at-work-prediction icon absenteeism-at-work-prediction

Absenteeism at work refers to the habitual absence from work for a period of time without a valid cause. Essentially, this goes beyond the planned vacation or off-work days

baaa icon baaa

Website for scott somerville

computational-chatbot icon computational-chatbot

A computational chatbot that you can seamlessly interact talk with. It can answer any computational question ranging from subjects such as Mathematics, Physics, Chemistry, Meterology, Astronomy and many more. It relies mainly on the Wolfram|Alpha Computational Knowledge Integration API.

dopamine icon dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

flexshop-ecommerce icon flexshop-ecommerce

Modularised and Reusable Libraries to create a online shopping platform - Flexshop.

lstm_sun_spots icon lstm_sun_spots

An example of RNN regression to predict sunspots. The data files needed for this example can be found at the following location. Sunspot Data Files Download Daily Sunspots - 1/1/1818 to now. The following code is used to load the sunspot file:

machine_translation icon machine_translation

Seq2seq model for Neural Machine Translation (NMT) from Spanish to English implemented in Keras

nlp_end2end_word2vec icon nlp_end2end_word2vec

Notebook on some NLP concepts such as Chatbots, End to End Memory Networks and Word 2 Vec

openseq2seq icon openseq2seq

Toolkit for efficient experimentation with various sequence-to-sequence models

proxy-server icon proxy-server

This is a proxy server for accessing blocked sites written in python.

pylidar3 icon pylidar3

PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.

simple-cracker-barrel-solution icon simple-cracker-barrel-solution

Simple solution to the cracker barrel game in native python. Can solve for any n number of rows - beware anything >6 rows takes a really long time since the problem is np complete

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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