Python Stylegan2-Ada-Google-Colab-Starter-Notebook Resources

RedliningExploration The Google Colaboratory file contained in this repository contains work inspired by a project on educational inequality in the Ph

Credit Card Fraud Detection Introduction Online transactions have become a crucial part of any business over the years. Many of those transactions use

Building Shazam from scratch In this repository we tried to implement a simplified copy of the Shazam application able to tell you the name of a song

Image-Captioning-on-google-cloud-platform-based-on-iot - Image Captioning on google cloud platform based on iot

event-driven-model-serving Unified API of Apache Kafka and Google PubSub 1. Proj

The scope of this project will be to build a data ware house on Google Cloud Platform that will help answer common business questions as well as powering dashboards.

SQL-query Use SQL query in a jupyter notebook! The table I used can be found on UN Data. Or you can just click the link and download the file undata_s

Translators - is a library which aims to bring free, multiple, enjoyable translation to individuals and students in Python

py Repository to store sample Python programs. This repository is meant for beginners to assist them in their learning of Python. The repository cover

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.

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 This is a ML model to classify Male and Females using some physical characterstics Data. Python Libraries like Pandas,Numpy and

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

Hello, This Notebook Contains Example of Corona Virus Tweets Multi Class Classification. - Classes is: Extremely Positive, Positive, Extremely Negativ

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 (pdf, doc, docx, etc), and downloads them.

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 Share your Python notebooks with others Easily convert your Python notebooks into interactive web apps by adding parameters in YAML. Simply ad

Django-Rest-Template! This is a basic starter template for a backend project with Django as the server and PostgreSQL as the database. About the templ

ML_Notebooks Collection of machine learning related notebooks to share. Notebooks GAN_distributed_training.ipynb In this Notebook, TensorFlow's tutori

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

Vigia do YouTube O bot Vigia do YouTube é capaz de monitorar canais na plataform

Google Earth Based Geoscience Video Library is transforming to Server Based. The

Reinforcement Learning Project This project was created to make it easier to get started with Reinforcement Learning. It now contains: An implementati

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Obs-Causal-Q-Network AAAI 2022 - Training a Resilient Q-Network against Observational Interference Preprint | Slides | Colab Demo | Environment Setup

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, 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 This is a collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. I've also created some p

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

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.

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

Django Starter Template Description Django Starter is a simple Skeleton to start

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 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 ]

TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extens

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.

🔰 TELEGRAM GOOGLE TRANSLATER 🔰 • ⚡ INSTALLING ⚡ • • ✅ OFFICIAL SUPPORTS ✅ •

HOUSING PRICE PREDICTION USING MACHINE LEARNING DESCRIPTION Housing Price Prediction Using Machine Learning is to predict the data of housings. Here I

Django GraphQL Starter GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data... According to the doc

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 making buy orders from a default bank account.

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.

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 Python package that unifies the Google Earth Engine ecosystem. EarthEngine.jl | rgee | rgee+ | eemont GitHub: https://github.com/r-earthengine/ee_ex

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 Jarvis Python BOT acts like Google-assistance Setup Add Mail ID (Gmail) in the file at line no 82.

DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (

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 This repository contains lecture transcripts and homework assignments as Jupyter Notebooks for th

Advisor Introduction Advisor is the hyper parameters tuning system for black box optimization. It is the open-source implementation of Google Vizier w

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. 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: 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 Project 1 DESCRIPTION Background of Problem Statement : NYC 311's mission is to provide the public with quick and e

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 기여자 (Contributors) ✨ Teddy Lee 🏠 HongJaeKwon 🏠 Seungwoo Han 🏠 Tae Heon Kim 🏠 Steve Kwon 🏠 SW Song 🏠 K1A2 🏠 Wooil

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 If you like this type of content then visit ML Quant site below: https://www.ml-quant.com/ Part One Follow this l

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

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 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!

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; 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. These are then converted to LinkML, and from there other formats

We proposed an unsupervised image-to-image translation method via pre-trained StyleGAN2 network. paper: Unsupervised Image-to-Image Translation via Pr

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 au

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. How To Use Create file/ upload file to Google Drive There's 2 fi

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. You can also configure to auto run in usb drive

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

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 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, 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 Contact: Qiushen

Deep Learning - All You Need to Know Sponsorship To support maintaining and upgrading this project, please kindly consider Sponsoring the project deve

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

yagooglesearch - Yet another googlesearch Overview yagooglesearch is a Python library for executing intelligent, realistic-looking, and tunable Google

Sigma Coding Tutorials & Resources YouTube • Facebook Support Sigma Coding Patreon • GitHub Sponsor • Shop Amazon Table of Contents Overview Topics Re

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 Update: an improved NSFF implementation to handle dynamic scene is open! Update: NeRF-W (NeRF in the Wild) implementation is added to nerfw br

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

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 This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this reposito

dont contribute in this repo, contribute only in below mentioned repo Special Note For Everyone ''' always make more then 4 pull request lets you have

Orbivator_AI Breast Cancer Wisconsin (Diagnostic) GOAL To Determine which features of data (measurements) are most important for diagnosing breast can

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

Rendering of live Jupyter notebooks with interactive widgets. Introduction Voilà turns Jupyter notebooks into standalone web applications. Unlike the

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 - 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

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. 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