greed2411 Goto Github PK

aldini_graph

neo4j related aldini-graph stuff for TypingDNA hack.

asf

Anti Spam Filter, a spam filter 🗃️ which uses a model made out of MultinomialNB algorithm 👈 from scikit-learn 🐍 to classify spam and complaints.

awesome-stars

My Awesome List

badges

:flower_playing_cards: Readme Badges – Gotta catch 'em all

bioinformatics

Path to pursue to see a worthy future in the newly emerging domain, Bioinformatics

biosql.github.io

Source of biosql.org website, migrated from MediaWiki

book

The Aya Book is an introductory book about using the Rust Programming Language and Aya library to build extended Berkley Packet Filter (eBPF) programs.

central_electric

Get paid 🤑 whenever sensors/io detect that there is a powercut.

convolutional_autoencoders_clustering

Genomics and Proteomics project

crun

Run workflow. Generally all parts are sequential executed, and some parts could be done parallelly.

cryptocurrency

Attempt on Bitcoin, quandl and plotly

cse2005-os-resources

dafaq

A python script to get the meaning or definition of English words using nltk. Hoping to make it a CLI soon.

dbms-els

E Learning System

fastapi_ws_producer_consumer

FastAPI websocket producer-consumer demonstration with asyncio.Queue.

flask-youtube

YouTube Downloader Flask version.

freebooks

Download all free O'Reilly books just by running this python script.

genderclassification-android

geofeed

Attempt on Google Place finder API.

grafana

PDC project for autotuning parameters

haas

Helm-as-a-Service ☸️

helm-www

The Helm website for docs, blog and project info.

introduction-to-tornado

kaala

Kaala: Uzhaipin vannam. 😎😎😎 . A software for farmers. A tribute to hard workers and Thalaivar.

kaggleprosperloans

Our Social and Information Networks Project

keras

Deep Learning for humans

knn

Using k-Nearest Neighbors algorithm, training it using 2/3rd of the iris.data and using the rest of the 1/3rd for the test case, and yield prediction for those 1/3rd with an accuracy usually greater than 90% , and this algorithm is implemented without using Python scikit-learn.

lcs

The longest common subsequence (LCS) problem is the problem of finding the longest subsequence common to all sequences in a set of sequences (often just two sequences). It differs from problems of finding common substrings: unlike substrings, subsequences are not required to occupy consecutive positions within the original sequences. The longest common subsequence problem is a classic computer science problem, and has applications in bioinformatics.

loginphc

Logging into VIT Wifi using python script and your credentials

ml

Machine Learning Experiments with scikit-learn, Deep learning with Keras, TensorFlow and Pytorch. Data Science examples for various datasets and competitions from Kaggle and Analytics Vidhya.