A middle-to-high level open source algorithm book designed with coding interview at heart!
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Updated
Feb 27, 2024 - TeX
A middle-to-high level open source algorithm book designed with coding interview at heart!
Run Minecraft Server on Google Colab.
Helmet Detection using tiny-yolo-v3 by training using your own dataset and testing the results in the google colaboratory.
This is a python application which converts american sign language into text and speech which helps Dumb/Deaf people to start conversation with normal people who dont understand this language
A Github Copilot implemention for Google Colab. Say goodbye to alt tabbing 👋
Veri Yapıları ve Algoritma Analizi
Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.
This project is about performing Speaker diarization for Hindi Language.
This project develops a Depression Detection System using Machine Learning on Twitter data. It predicts depression by analyzing tweets with SVM, Logistic Regression, Decision Trees, and NLTK in Python.
Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.
Fake News Detection in Python using Machine Learning
Etherum mining on colab using nicehash stratum
Real Time Drone Detection with YOLOv3, YOLOv3-tiny, YOLOv4, YOLOv4-tiny, YOLOv5x, YOLOv5s, YOLOv6-L, YOLOv6-S, YOLOv7-X, YOLOv7, YOLOv8l and YOLOv8s
Deep-Machine Learning Tutors
Create narrated video story from book chapter using NLP, OpenAI and StableDiffusion.
Download torrents to unlimited google drive and access your drive with direct links made possible by Cloudflare Workers!
Monero mining on colab
A Google Colab Notebook for running GClone, an RClone mod that allows multiple Google Service Account configuration. Created for easy use of GClone
This notebook includes data scraping. For this beautifulsoup and selinium is used. It takes a website URL as an input and extracts the information listed below as an output from that webpage. For this beautifulsoup and selinium is used 1. Specific HTML tags along with titles and meta description 2. Extract specific tags, heading tags from h1-h6 …
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