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60daysofudacity

#60daysofUdacity

artisai.github.io

demo site

beginners-data-workshop

Humble Data aims to increase inclusivity and provide a safe community for Python and Data Science. We organise free workshops for people who are outside of the mainstream in the data science and tech industry.

blockchain_in_handicraft_supplychain_management

This is a code repository of a paper about Block chain in Handicrafts Supplychain Management

blogbackup

computer-vision-course

This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord

data-science-edx-

This is all about the project and coding stuff i did in the pursuit of Microsoft Professional Program On edx platform

dataset

deepschool.io

Deep Learning tutorials in jupyter notebooks.

docs

Mattermost documentation

fantasypremierleague

anyone can generate dataset of FPL including points and price of Players

foodbot

This is chat bot for notify food time table implemented in Mattermost

game_of_thrones

Game of thrones script Dataset.

graph-intro

imagefinder

Search Similar faces/object.

intrusion-detection-system

lambda

this is a collection of helper lambda function.

landsat_image_visual

Landsat image visualizations and comparisions

learn_js

learn_rl

machinelearning_algorithms_analysis

Various algorithmic analysis are done in the repository.

mattermost-server

Open source Slack-alternative in Golang and React - Mattermost

mattermost-webapp

Webapp of Mattermost server: https://github.com/mattermost/mattermost-server

modis-tools

Tools for working with the MODIS API and MODIS data.

nepali_wikipedia_curpos

Scrap Nepali Wikipedia Text data

nepali_word2vec

Word2vec model using Google's Tensorflow for Nepali Language

numpy-tutorial-scipyconf-2017

pursuit_of_scalability

python-machine-learning-second-edition

Python Machine Learning - Second Edition, published by Packt

quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.