mikhail-tsir Goto Github PK

anserini

Anserini is a Lucene toolkit for reproducible information retrieval research

convex-hull

Ron Graham's algorithm to find convex hull of a set of points.

convexhull

Convex hull finder using Ron Graham's algorithm

cs348project

evolutionary-rockets

I implemented the genetic algorithm for rockets to "learn" to fly towards a target, which can be manipulated by the user, while avoiding hitting an obstacle, which can also be manipulated by the user.

green-arm

Code for robot to sort blocks based on their colour. Made for a robotics competition

hedwig

PyTorch deep learning models for document classification

imglblr

An image labeling app that provides training data for computer vision/image recognition projects

interviewshtv

An interactive interview preparation tool designed to help you ACE your interviews! Placed in the top 10 of 100+ teams at Hack The Valley IV

mazes

User can build, randomly generate, solve, and see solutions to mazes, as well as save them to a file and reopen them.

mini-games

I recreated the traditional minesweeper game. I plan on experimenting with a bot that will solve minesweeper games automatically.

mlh-localhost-github

This repo contains the source code for the MLH Localhost workshop, How to Collaborate on Code Projects with GitHub.

pathfinding-robot

Code for a robot to navigate a 7 x 4 grid (black on white). Works with an Arduino MakeBlock m-bot

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

shopifybackendchallenge

Winter 2021 Shopify Internship Challenge

shopifydevinternchallenge

Shopify Developer Intern Challenge for Fall 2021

simpletodoapp

Simple todo app with flask

sortingvisualizertutorial

Me following a tutorial for a sorting algorithm visualizer, but I'm making it better along the way

text-classification

PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类

twitterdata

An app that allows the user to provide a keyword and uses natural language processing to determine Twitter's overall sentiment on that topic!

vespa-exploration

Playing around with vespa.ai