John Doe (crosstherubicon)

crosstherubicon

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Company:SCG

Location:United States

Home Page:sansbasnet.github.io

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John Doe's repositories

Python_projects_and_more

Games and tasks automation using python

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Google_stock_prediction

Using 2012-2016 open Google stock price to predict 2017 opening google stock price using Recurrent Neural Network stacked LSTM.

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atlastherobot

Artificial Intelligence driven mini land-rover with locomotion and intractability.

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Backprop_Hyper-parameters

Understanding hyperparameters of neural network architectures using 3 cost functions, 3 activation functions, 2 regularizations and dropout.

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COVID19-DataModels

A website tracker for COVID-19 by county and state level; some country level data is also available.

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Endeavor

Timeseries forecast and retrieval chatbot

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Hadron_innovations

Berkeley inventions

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Reconnaissance

An open eye on earth

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SVM_and_Discriminant_Analysis_methods

Gradient boosting and adaptive boosting algorithms

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the-economist-war-fire-model

Source code and data for The Economist's Ukraine war-fire model

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Churn_Prediction

Churn prediction using Random Forest and Decision Tree Classifiers.

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Coding_Challenges

Coding challenges from different websites

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Computer_Vision

Everything Computer Vision

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Deep_Learning

This repo contains several Deep Learning projects. Each folder contains the code, dataset, comments and results.

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gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

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Implementation_of_Neural_Network

Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood

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Java_Programming

Java materials for Oracle Java Dev certification.

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openlst-hw

CC1110 based Radio board. 435MHz. Modification of the OpenLST Reference Design to support $1K Cubesat

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Python-for-Algorithms--Data-Structures--and-Interviews

Files for Udemy Course on Algorithms and Data Structures

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Simple-Chatbot

We Build a chatbot using deep learning techniques. The chatbot will be trained on the dataset which contains categories (intents), pattern and responses. We use a special recurrent neural network (LSTM) to classify which category the user’s message belongs to and then we will give a random response from the list of responses.

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startup-page

A custom startup page for your browser.

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walkwithfastai.github.io

Host for https://walkwithfastai.com

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