vishalseshagiri's repositories

gsoc_probot_task_1

- Probot app that automatically merges pull requests that pass all checks

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aima-gsoc

aimacode participation in the Google Summer of Code

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data-science-bowl-2018

open solution to the Data Science Bowl 2018

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Deep-Neural-Networks-HealthCare

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

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engineering-notes

A personal collection of some ideas in computer science, software engineering, and programming

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Fabrik

:factory: Collaboratively build, visualize, and design neural nets in browser

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frappe_docker

Docker image for frappe-bench

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front-end-interview-handbook

🕸 Almost complete answers to "Front-end Job Interview Questions" which you can use to interview potential candidates, test yourself or completely ignore

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gemmlowp

Low-precision matrix multiplication

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INF552_DataScienceBowl2018

- Project for USC's INF 552 Machine Learning course

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keras-js

Run Keras models in the browser, with GPU support using WebGL

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list-of-python-api-wrappers

List of Python API Wrappers and Libraries

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loss_kaggle_2018

Investigation of focal and dice loss for the Kaggle 2018 data science bowl.

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models

Models and examples built with TensorFlow

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Neural-IMage-Assessment

A PyTorch Implementation of Neural IMage Assessment

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numpy_speed_test

Illustration of Python speed differences: For loop vs. numpy vectorization.

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Python

All Algorithms implemented in Python

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python-patterns

A collection of design patterns/idioms in Python

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Python-programming-exercises

100+ Python challenging programming exercises

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python-scripts

because i'm tired of gists

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python3_with_pleasure

A short guide on features of Python 3

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react-developer-roadmap

Roadmap to becoming a React developer in 2018

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reverse_dictionary

- App that returns the reverse dictionary of entered phrase or word

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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TensorComprehensions

A domain specific language to express machine learning workloads.

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