parvvaresh

parvvaresh's Stars

• parvvaresh/ai4boundaries

  2

• siavashprh/OnlineShopDB

  Project for a database course

  Language:Python1

• rasbt/python-machine-learning-book

  The "Python Machine Learning (1st edition)" book code repository and info resource

  Language:Jupyter Notebook12.2k4.4k

• karpathy/build-nanogpt

  Video+code lecture on building nanoGPT from scratch

  Language:Python3.1k395

• parvvaresh/Monitor-GPU-usage

  This repository contains a Python script that monitors GPU usage and logs the data into a CSV file at regular intervals. The script leverages nvidia-smi to query GPU statistics and runs in the background using the screen utility.

  Language:Python81

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook34.8k3.7k

• navaabiglar/navaabiglar

  Config files for my GitHub profile.

  1

• Ali-Noghabi/eigenfaces

  face detection using eigen faces

  Language:Jupyter Notebook5

• parvvaresh/resume_maker

  Language:Python4

• Ali-Noghabi/CPU-scheduling-simulation

  simulate a CPU scheduling system with SRTF , FCFS and RR Methods

  Language:Rust2

• bateni1380/AI-Car-Racer-Genetic

  This is a car racing game written by python and pygame along with some controllers for each car which can be controlled by user or an AI!

  Language:Python3

• parvvaresh/TargomanAPI

  Language:Python5

• Danial-Rahimi1381/Animal-presence-absence-project-with-nrf24l01-plus

  Language:Perl3

• Danial-Rahimi1381/tms320f28335-SCI

  Language:C1

• parvvaresh/NLP-Projects

  This repository contains a collection of Natural Language Processing (NLP) projects

  Language:Jupyter Notebook18

• parvvaresh/aStar-algorithm

  The A* algorithm combines the actual cost (g), which represents the distance traveled, with a heuristic cost (h) that estimates the remaining distance to the goal. It intelligently selects the most promising nodes to explore, leading to efficient pathfinding in search spaces.

  Language:Python4

• MadryLab/mnist_challenge

  A challenge to explore adversarial robustness of neural networks on MNIST.

  Language:Python716178

• SharifiZarchi/Introduction_to_Machine_Learning

  دوره‌ی مقدمه‌ای بر یادگیری ماشین، برای دانشجویان

  Language:Jupyter Notebook30595

• parvvaresh/clustering-with-genetic

  This Python script implements a genetic algorithm for clustering data. The algorithm optimizes the cluster assignments of data points using a genetic approach, aiming to improve the silhouette score. The silhouette score is a measure of how well-defined the clusters are in the data.

  Language:Python10

• Ali-Noghabi/SemiRedis

  Language:C++3

• parvvaresh/Satellite_data

  This repository provides Python code for converting satellite data into a format suitable for deep learning models. It supports various deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory networks (LSTMs).

  Language:Python13

• Ali-Noghabi/git-workshop

  Language:Java218

• amir-saniyan/HodaDatasetReader

  Python code for reading Hoda farsi digit dataset.

  Language:Python4211

• roshan-research/hazm

  Persian NLP Toolkit

  Language:Python1.2k182

• parvvaresh/ETL-gee

  Language:Python91

• Gdahuks/Image_contrast_enhancement

  ImageContrastEnhancement is a demonstration of the capabilities of convolutional genetic algorithms in image processing, specifically in the area of contrast enhancement.

  Language:Jupyter Notebook1

• Ali-Noghabi/DAi-Day-website

  DAi-Day conference website using wordpress

  Language:PHP2

• rezaAdinepour/M.Sc-AUT

  You can find all of computer architecture documents here.

  Language:TeX3

• parvvaresh/pacman-with-MIN-MAX

  A Pacman game implementation with an AI player using the Minimax algorithm. This project showcases the classic Pacman game environment, where the player (Pacman) navigates a maze to collect points while avoiding ghosts. The AI-controlled ghosts aim to catch Pacman.

  Language:Python6

• amirata051/AI-Course

  Language:Jupyter Notebook2