639 Repositories
Python google-colab-notebook Libraries
Python Computer Vision from Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
Colab notebook for openai/glide-text2im.
GLIDE text2im on Colab This repository provides a Colab notebook to produce images conditioned on text prompts with GLIDE [1]. Usage Run text2im.ipynb
Gender Classification Machine Learning Model using Sk-learn in Python with 97%+ accuracy and deployment
Gender-classification This is a ML model to classify Male and Females using some physical characterstics Data. Python Libraries like Pandas,Numpy and
Evil-stalker - A simple tool written in python, it is so simple that it is based on google dorks
evil-stalker How to run First of all, you must install the necessary libraries.
Implémentation en pyhton de l'article Depixelizing pixel art de Johannes Kopf et Dani Lischinski
Implémentation en pyhton de l'article Depixelizing pixel art de Johannes Kopf et Dani Lischinski
In this Notebook I've build some machine-learning and deep-learning to classify corona virus tweets, in both multi class classification and binary classification.
Hello, This Notebook Contains Example of Corona Virus Tweets Multi Class Classification. - Classes is: Extremely Positive, Positive, Extremely Negativ
Detect roadway lanes using Python OpenCV for project during the 5th semester at DHBW Stuttgart for lecture in digital image processing.
Find Line Detection (Image Processing) Identifying lanes of the road is very common task that human driver performs. It's important to keep the vehicl
MSDorkDump is a Google Dork File Finder that queries a specified domain name and variety of file extensions
MSDorkDump is a Google Dork File Finder that queries a specified domain name and variety of file extensions (pdf, doc, docx, etc), and downloads them.
This is a Web scraping project using BeautifulSoup and Python to scrape basic information of all the Test matches played till Jan 2022.
Scraping-test-matches-data This is a Web scraping project using BeautifulSoup and Python to scrape basic information of all the Test matches played ti
Mercury: easily convert Python notebook to web app and share with others
Mercury Share your Python notebooks with others Easily convert your Python notebooks into interactive web apps by adding parameters in YAML. Simply ad
Collection of machine learning related notebooks to share.
ML_Notebooks Collection of machine learning related notebooks to share. Notebooks GAN_distributed_training.ipynb In this Notebook, TensorFlow's tutori
How to detect objects in real time by using Jupyter Notebook and Neural Networks , by using Yolo3
Real Time Object Recognition From your Screen Desktop . In this post, I will explain how to build a simply program to detect objects from you desktop
A cpp project template that uses CMake to build and Google Test / Github Actions to provide a CI
A cpp project template that uses CMake to build and Google Test / Github Actions to provide a CI
Vigia-youtube - The YouTube Watch bot is able to monitor channels on Google's video platform
Vigia do YouTube O bot Vigia do YouTube é capaz de monitorar canais na plataform
GEGVL: Google Earth Based Geoscience Video Library
Google Earth Based Geoscience Video Library is transforming to Server Based. The
RL Algorithms with examples in Python / Pytorch / Unity ML agents
Reinforcement Learning Project This project was created to make it easier to get started with Reinforcement Learning. It now contains: An implementati
Fully Automated YouTube Channel ▶️with Added Extra Features.
Fully Automated Youtube Channel ▒█▀▀█ █▀▀█ ▀▀█▀▀ ▀▀█▀▀ █░░█ █▀▀▄ █▀▀ █▀▀█ ▒█▀▀▄ █░░█ ░░█░░ ░▒█░░ █░░█ █▀▀▄ █▀▀ █▄▄▀ ▒█▄▄█ ▀▀▀▀ ░░▀░░ ░▒█░░ ░▀▀▀ ▀▀▀░
Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks
Obs-Causal-Q-Network AAAI 2022 - Training a Resilient Q-Network against Observational Interference Preprint | Slides | Colab Demo | Environment Setup
Language Used: Python . Made in Jupyter(Anaconda) notebook.
FACE-DETECTION-ATTENDENCE-SYSTEM Made in Jupyter(Anaconda) notebook. Language Used: Python Steps to perform before running the program : Install Anaco
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constraints to achieve maximum laps in a race with a 2-hour time window.
100 numpy exercises (with solutions)
100 numpy exercises This is a collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. I've also created some p
A sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes
CFD Python Please cite as: Barba, Lorena A., and Forsyth, Gilbert F. (2018). CFD Python: the 12 steps to Navier-Stokes equations. Journal of Open Sour
Practical Machine Learning with Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.
2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou
A simple notebook to stream torrent files directly to Google Drive using Google Colab.
Colab-Torrent-to-Drive Originally by FKLC, this is a simple notebook to stream torrent files directly to Google Drive using Google Colab. You can eith
Google Brain - Ventilator Pressure Prediction
Google Brain - Ventilator Pressure Prediction https://www.kaggle.com/c/ventilator-pressure-prediction The ventilator data used in this competition was
official ( API ) for the zAmericanEnglish app in [ Google play ] and [ App store ]
official ( API ) for the zAmericanEnglish app in [ Google play ] and [ App store ]
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extens
Jupyter notebook and datasets from the pandas Q&A video series
Python pandas Q&A video series Read about the series, and view all of the videos on one page: Easier data analysis in Python with pandas. Jupyter Note
Python for downloading model data (HRRR, RAP, GFS, NBM, etc.) from NOMADS, NOAA's Big Data Program partners (Amazon, Google, Microsoft), and the University of Utah Pando Archive System.
Python for downloading model data (HRRR, RAP, GFS, NBM, etc.) from NOMADS, NOAA's Big Data Program partners (Amazon, Google, Microsoft), and the University of Utah Pando Archive System.
Telegram Google Translater Bot Can Translate Any Language To Your Selected Language
🔰 TELEGRAM GOOGLE TRANSLATER 🔰 • ⚡ INSTALLING ⚡ • • ✅ OFFICIAL SUPPORTS ✅ •
Housing Price Prediction Using Machine Learning.
HOUSING PRICE PREDICTION USING MACHINE LEARNING DESCRIPTION Housing Price Prediction Using Machine Learning is to predict the data of housings. Here I
An intuitive library to extract features from time series
Time Series Feature Extraction Library Intuitive time series feature extraction This repository hosts the TSFEL - Time Series Feature Extraction Libra
Cbpa - Coinbase Pro Automation for buying your favourite cryptocurrencies
cbpa Coinbase Pro Automation for making buy orders from a default bank account.
Software Engineer Salary Prediction
Based on 2021 stack overflow data, this machine learning web application helps one predict the salary based on years of experience, level of education and the country they work in.
A Python program that will log into your scheduled Google Meets hands free
Chrome GMautomation General Information This Python program will open up Chrome and log into your scheduled Google Meet with camera and mic turned off
A ninja python package that unifies the Google Earth Engine ecosystem.
A Python package that unifies the Google Earth Engine ecosystem. EarthEngine.jl | rgee | rgee+ | eemont GitHub: https://github.com/r-earthengine/ee_ex
Asynchronous python aria2 mirror bot Telegram.
aioaria2-mirror-bot A Bot for Telegram made with Python using Pyrogram library. It needs Python 3.9 or newer to run. THIS BOT IS INTENDED TO BE USED O
Jarvis Python BOT acts like Google-assistance
Jarvis-Python-BOT Jarvis Python BOT acts like Google-assistance Setup Add Mail ID (Gmail) in the file at line no 82.
General Assembly's 2015 Data Science course in Washington, DC
DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Data Science 45-min Intros Every week*, our data science team @Gnip (aka @TwitterBoulder) gets together for about 50 minutes to learn something. While
Creative Applications of Deep Learning w/ Tensorflow
Creative Applications of Deep Learning w/ Tensorflow This repository contains lecture transcripts and homework assignments as Jupyter Notebooks for th
Open-source implementation of Google Vizier for hyper parameters tuning
Advisor Introduction Advisor is the hyper parameters tuning system for black box optimization. It is the open-source implementation of Google Vizier w
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Spark Python Notebooks This is a collection of IPython notebook/Jupyter notebooks intended to train the reader on different Apache Spark concepts, fro
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Logica is a logic programming language that compiles to StandardSQL and runs on Google BigQuery.
Logica: language of Big Data Logica is an open source declarative logic programming language for data manipulation. Logica is a successor to Yedalog,
Customer Service Requests Analysis is one of the practical life problems that an analyst may face. This Project is one such take. The project is a beginner to intermediate level project. This repository has a Source Code, README file, Dataset, Image and License file.
Customer Service Requests Analysis Project 1 DESCRIPTION Background of Problem Statement : NYC 311's mission is to provide the public with quick and e
PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
PyExplainer PyExplainer is a local rule-based model-agnostic technique for generating explanations (i.e., why a commit is predicted as defective) of J
Machine Learning Study 혼자 해보기
Machine Learning Study 혼자 해보기 기여자 (Contributors) ✨ Teddy Lee 🏠 HongJaeKwon 🏠 Seungwoo Han 🏠 Tae Heon Kim 🏠 Steve Kwon 🏠 SW Song 🏠 K1A2 🏠 Wooil
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Do you want a RL agent nicely moving on Atari? Rainbow is all you need! This is a step-by-step tutorial from DQN to Rainbow. Every chapter contains bo
Machine Learning in Asset Management (by @firmai)
Machine Learning in Asset Management If you like this type of content then visit ML Quant site below: https://www.ml-quant.com/ Part One Follow this l
Voice Assistant inspired by Google Assistant, Cortana, Alexa, Siri, ...
author: @shival_gupta VoiceAI This program is an example of a simple virtual assitant It will listen to you and do accordingly It will begin with wish
This tool is a free and unlimited python CLI for google translate. based on google_trans_new.
GoTransPy A free and unlimited python CLI for google translate based on google_trans_new. It's very easy to use and solve the problem that the old api
Google Art Image Downloader Tkinter
Google-Art-Image-Downloader-Tkinter 由 google-art-downloader 整改的批量 Google 艺术展平台高清图片下载 ⭐ It works perfectly from 2018 year till today, thanks for stars!
Understand Text Summarization and create your own summarizer in python
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.
Data-Scrapping SEO - the project uses various data scrapping and Google autocompletes API tools to provide relevant points of different keywords so that search engines can be optimized
Data-Scrapping SEO - the project uses various data scrapping and Google autocompletes API tools to provide relevant points of different keywords so that search engines can be optimized; as this information is gathered, the marketing team can target the top keywords to get your company’s website higher on a results page.
Fairstructure - Structure your data in a FAIR way using google sheets or TSVs
Fairstructure - Structure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats
Fashion Entity Classification
Fashion-Entity-Classification - Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.
Google scholar share - Simple python script to pull Google Scholar data from an author's profile
google_scholar_share Simple python script to pull Google Scholar data from an au
NasirKhusraw - The TSP solved using genetic algorithm and show TSP path overlaid on a map of the Iran provinces & their capitals.
Nasir Khusraw : Travelling Salesman Problem The TSP solved using genetic algorithm. This project show TSP path overlaid on a map of the Iran provinces
DB-Drive-CSV - This is app is can be used to access CSV file as JSON from Google Drive.
DB Drive CSV This is app is can be used to access CSV file as JSON from Google Drive. How To Use Create file/ upload file to Google Drive There's 2 fi
Archivist - Easily archive 📦 Download folder to Google Drive ☁️
Archivist Script for archiving Download folder by uploading unmodified files to a Google Drive folder. Modified files will remain in the Download fold
Virus-Builder - This tool will generate a virus that can only destroy Windows computer
Virus-Builder - This tool will generate a virus that can only destroy Windows computer. You can also configure to auto run in usb drive
Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly
Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly Problem: 2 peloton users were looking for a way to track their metri
Awesome-google-colab - Google Colaboratory Notebooks and Repositories
Unofficial Google Colaboratory Notebook and Repository Gallery Please contact me to take over and revamp this repo (it gets around 30k views and 200k
Osmnx-examples - Usage examples, demos, and tutorials for OSMnx.
OSMnx Examples OSMnx is a Python package to work with street networks and other spatial data from OpenStreetMap: retrieve, model, analyze, and visuali
Data-science-on-gcp - Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
data-science-on-gcp Source code accompanying book: Data Science on the Google Cloud Platform, 2nd Edition Valliappa Lakshmanan O'Reilly, Jan 2022 Bran
Earthengine-py-notebooks - A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
earthengine-py-notebooks A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping Contact: Qiushen
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning
Yet another googlesearch - A Python library for executing intelligent, realistic-looking, and tunable Google searches.
yagooglesearch - Yet another googlesearch Overview yagooglesearch is a Python library for executing intelligent, realistic-looking, and tunable Google
Sigma coding youtube - This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Sigma Coding Tutorials & Resources YouTube • Facebook Support Sigma Coding Patreon • GitHub Sponsor • Shop Amazon Table of Contents Overview Topics Re
Notedown - Markdown = IPython Notebook
Python 2/3 and IPython 4 / Jupyter compatible! Convert IPython Notebooks to markdown (and back) notedown is a simple tool to create IPython notebooks
Nerf pl - NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
nerf_pl Update: an improved NSFF implementation to handle dynamic scene is open! Update: NeRF-W (NeRF in the Wild) implementation is added to nerfw br
Bamboolib - a GUI for pandas DataFrames
Community repository of bamboolib bamboolib is joining forces with Databricks. For more information, please read our announcement. Please note that th
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Spin-off Notice: the modules and functions used by our research notebooks have been refactored into another repository
Fecon235 - Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Kaggle-titanic - A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Kaggle-titanic This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this reposito
Orbivator AI - To Determine which features of data (measurements) are most important for diagnosing breast cancer and find out if breast cancer occurs or not.
Orbivator_AI Breast Cancer Wisconsin (Diagnostic) GOAL To Determine which features of data (measurements) are most important for diagnosing breast can
Numerical-computing-is-fun - Learning numerical computing with notebooks for all ages.
As much as this series is to educate aspiring computer programmers and data scientists of all ages and all backgrounds, it is also a reminder to mysel
Voila - Voilà turns Jupyter notebooks into standalone web applications
Rendering of live Jupyter notebooks with interactive widgets. Introduction Voilà turns Jupyter notebooks into standalone web applications. Unlike the
Non-Attentive-Tacotron - This is Pytorch Implementation of Google's Non-attentive Tacotron.
Non-attentive Tacotron - PyTorch Implementation This is Pytorch Implementation of Google's Non-attentive Tacotron, text-to-speech system. There is som
Credit fraud detection in Python using a Jupyter Notebook
Credit-Fraud-Detection - Credit fraud detection in Python using a Jupyter Notebook , using three classification models (Random Forest, Gaussian Naive Bayes, Logistic Regression) from the sklearn library, and judging the performance based on accuracy, precision, recall and f1 score
Repositório criado para abrigar os notebooks com a listas de exercícios propostos pelo professor Gustavo Guanabara do canal Curso em Vídeo do YouTube durante o Curso de Python 3
Curso em Vídeo - Exercícios de Python 3 Sobre o repositório Este repositório contém os notebooks com a listas de exercícios propostos pelo professor G
Technical_indicators_cryptos - Using technical indicators to find optimal trading strategies to deploy onto trading bot.
technical_indicators_cryptos Using technical indicators to find optimal trading strategies to deploy onto trading bot. In the Jup Notebook you wil
Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.
Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks
Price-Prediction-For-a-Dream-Home - A machine learning based linear regression trained model for house price prediction.
Price-Prediction-For-a-Dream-Home ROADMAP TO THIS LINEAR REGRESSION BASED HOUSE PRICE PREDICTION PREDICTION MODEL Import all the dependencies of the p
JupyterNotebook - C/C++, Javascript, HTML, LaTex, Shell scripts in Jupyter Notebook Also run them on remote computer
JupyterNotebook Read, write and execute C, C++, Javascript, Shell scripts, HTML, LaTex in jupyter notebook, And also execute them on remote computer R
This program can calculate the Aerial Distance between two cities.
Aerial_Distance_Calculator This program can calculate the Aerial Distance between two cities. This repository include both Jupyter notebook and Python
IDCARD-VERIFYING-SYSTEM - The "IDCARD VERIFYING SYSTEM" uses the Google's latest version of Tesseract OCR[Optical Character Recognition]
IDCARD VERIFYING SYSTEM The "IDCARD VERIFYING SYSTEM" uses the Google's latest v
HappyScrapper - Google news web scrapper with python
HappyScrapper ~ Google news web scrapper INSTALLATION ♦ Clone the repository ♦ O
Image-Bot-Discord - This Is a discord bot that shows the specific image you search from Google
Advanced Discord.py Image Bot CREDITS Made by RLX and Mathiscool README by Milrato Installation Guide in .env Adjust the TOKEN python main.py to start
If Google News had a Python library
pygooglenews If Google News had a Python library Created by Artem from newscatcherapi.com but you do not need anything from us or from anyone else to
Run CodeServer on Google Colab using Inlets in less than 60 secs using your own domain.
Inlets Colab Run CodeServer on Colab using Inlets in less than 60 secs using your own domain. Features Optimized for Inlets/InletsPro Use your own Cus
Highlight Translator can help you translate the words quickly and accurately.
Highlight Translator can help you translate the words quickly and accurately. By only highlighting, copying, or screenshoting the content you want to translate anywhere on your computer (ex. PDF, PPT, WORD etc.), the translated results will then be automatically displayed before you.
Analysing poker data from home games with friends
Poker Game Analysis Analysing poker data from home games with friends. Not a lot of data is collected, so this project is primarily focussed on descri
This Jupyter notebook shows one way to implement a simple first-order low-pass filter on sampled data in discrete time.
How to Implement a First-Order Low-Pass Filter in Discrete Time We often teach or learn about filters in continuous time, but then need to implement t
Library for Python 3 to communicate with the Google Chromecast.
pychromecast Library for Python 3.6+ to communicate with the Google Chromecast. It currently supports: Auto discovering connected Chromecasts on the n
A project in order to analyze user's favorite musics, artists and genre
Spotify-Wrapped This is a project about Spotify Wrapped (which is an extra option for premium accounts, but you don't need to be premium here) This pr
Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch
CutPaste CutPaste: image from paper Unofficial implementation of Google's "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization"
Visualization of the World Religion Data dataset by Correlates of War Project.
World Religion Data Visualization Visualization of the World Religion Data dataset by Correlates of War Project. Mostly personal project to famirializ