ivannikitovic Goto Github PK

cache-simulator

Cache simulator in C that supports load, store, and modify instructions, reporting hits and misses and handling evictions as projected

count-min-sketch

Implementation of Count-Min Sketch using Pyhon. Count-Min Sketch (CMS) is a probabilistic data structure that serves as a frequency table of events in a stream of data.

cs454-lab7

cs506-spring2023

Code and Slides for Boston University CS 506

cs5356-docs

few-shot-chatgpt

Few-shot learning method using ChatGPT following the approach suggested in the paper 'A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level' https://arxiv.org/pdf/2112.15594.pdf

hub-and-spoke-mip

Optimization of a city delivery network using Gurobi for Python. Achieve efficient perishable goods distribution with a hub-and-spoke model, balancing delivery volumes and distances.

interactive-lab-hub

job-tracker

Upcoming platform that helps candidates organize and manage job applications in tech. This application will provide users with tools to manage and monitor their job search process more efficiently than before.

maximal-matching

Exploring the complexity of different versions of a graph exploration method for deciding whether an edge is included in a maximal matching.

seglist-memory-allocator

Simple and efficient memory allocator implemented using a segregated list. Implementation inspired by and partly taken from CS:APP by Randal Bryant.

stack-based-language

Typed stack language written in OCaml consisting of a compiler and interpreter, supporting scope, variable and function definitions and calls, conditional statements, mathematical operations, and recursion.

sublinear

Python library implementing a subset of streaming algorithms. Includes variations of these algorithms (e.g. adversarially robust), as well as support for multiple data types.

text-to-graphics

We wish to demonstrate that a neural network trained on image-LaTeX pairs can effectively convert images from mathematical questions to input understandable by Codex using few-shot and zero-shot learning.

twitter-sentiment

This model implements the pre-trained TwHIN-BERT language model based on BERT, fine-tuned on the Sentiment140 dataset for the purposes of predicting sentiment of tweets on Twitter as either positive or negative.

user-interview-summarizer

Tool designed to help user researchers transcribe and summarize interviews easily. It leverages OpenAI's Whisper and GPT API to convert audio or video interviews into text and provide a summary of the content, as well as key observations and memorable quotes.