289 Repositories
Python cairo-jupyter Libraries
Display your data in an attractive way in your notebook!
Bloxs Bloxs is a simple python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, re
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
Best Data Science Resources Hey, Data Enthusiasts out there! Finally, after lots of requests from the community I finally came up with the best free D
Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.
01_Python_Introduction Introduction 👋 Python is a modern, robust, high level programming language. It is very easy to pick up even if you are complet
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Machine Learning Notebooks, 3rd edition This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
03_Python_Flow_Control Introduction 👋 The control flow statements are an essential part of the Python programming language. A control flow statement
My Solutions to 120 commonly asked data science interview questions.
Data_Science_Interview_Questions Introduction 👋 Here are the answers to 120 Data Science Interview Questions The above answer some is modified based
This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
92_Python_Games 🎮 Introduction 👋 This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try t
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
Molecular Docking integrated in Jupyter Notebooks Description | Citation | Installation | Examples | Limitations | License Table of content Descriptio
Implementation of RITA (Real Intelligence Threat Analytics) in Jupyter Notebook with improved scoring algorithm.
RITA (Real Intelligence Threat Analytics) in Jupyter Notebook RITA is an open source framework for network traffic analysis sponsored by Active Counte
Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.
Website • Docs • Community Slack 💡 What is NannyML? NannyML is an open-source python library that allows you to estimate post-deployment model perfor
Databricks Certified Associate Spark Developer preparation toolkit to setup single node Standalone Spark Cluster along with material in the form of Jupyter Notebooks.
Databricks Certification Spark Databricks Certified Associate Spark Developer preparation toolkit to setup single node Standalone Spark Cluster along
Containerized Demo of Apache Spark MLlib on a Data Lakehouse (2022)
Spark-DeltaLake-Demo Reliable, Scalable Machine Learning (2022) This project was completed in an attempt to become better acquainted with the latest b
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
Responsible AI Workshop Responsible innovation is top of mind. As such, the tech industry as well as a growing number of organizations of all kinds in
Tutorials for on-ramping to StarkNet
Full-Stack StarkNet Repo containing the code for a short tutorial series I wrote while diving into StarkNet and learning Cairo. Aims to onramp existin
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
30-Days-of-ML-Kaggle 🔥 About the Hands On Program 💻 Machine learning beginner → Kaggle competitor in 30 days. Non-coders welcome The program starts
Get started with Machine Learning with Python - An introduction with Python programming examples
Machine Learning With Python Get started with Machine Learning with Python An engaging introduction to Machine Learning with Python TL;DR Download all
ipyvizzu - Jupyter notebook integration of Vizzu
ipyvizzu - Jupyter notebook integration of Vizzu. Tutorial · Examples · Repository About The Project ipyvizzu is the Jupyter Notebook integration of V
Cairo hooks for pre-commit
pre-commit-cairo Cairo hooks for pre-commit. See pre-commit for more details Using pre-commit-cairo with pre-commit Add this to your .pre-commit-confi
A command line interface tool converting starknet warp transpiled outputs into readable cairo contracts.
warp-to-cairo warp-to-cairo is a simple tool converting starknet warp outputs (NethermindEth/warp) outputs into readable cairo contracts. The warp out
Jupyter notebooks showing best practices for using cx_Oracle, the Python DB API for Oracle Database
Python cx_Oracle Notebooks, 2022 The repository contains Jupyter notebooks showing best practices for using cx_Oracle, the Python DB API for Oracle Da
Cairo-integer-types - A library for bitwise integer types (e.g. int64 or uint32) in Cairo, with a test suite
The Cairo bitwise integer library (cairo-bitwise-int v0.1.1) The Cairo smart tes
Xoroshiro-cairo - A xoroshiro128** pseudorandom number generator implementation in Cairo
xoroshiro-cairo A xoroshiro128** pseudorandom number generator implementation in
Vaex library for Big Data Analytics of an Airline dataset
Vaex-Big-Data-Analytics-for-Airline-data A Python notebook (ipynb) created in Jupyter Notebook, which utilizes the Vaex library for Big Data Analytics
This repository contains some analysis of possible nerdle answers
Nerdle Analysis https://nerdlegame.com/ This repository contains some analysis of possible nerdle answers. Here's a quick overview: nerdle.py contains
Customizing Visual Styles in Plotly
Customizing Visual Styles in Plotly Code for a workshop originally developed for an Unconference session during the Outlier Conference hosted by Data
Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.
Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.
A research of IT labor market based especially on hh.ru. Salaries, rate of technologies and etc.
hh_ru_research Проект реализован в учебных целях анализа рынка труда, в особенности по hh.ru Input data В качестве входных данных используются сериали
Contains a Jupyter Notebook for calculating remaining plants required based on field/lathhouse data.
Davis-Sunflowers-Su21 Project goals: Plants influence their reproduction and mating system in many ways. Various factors such as time of flowering, ab
A 2-dimensional physics engine written in Cairo
A 2-dimensional physics engine written in Cairo
A proof-of-concept package manager for Cairo contracts/libraries
glyph A proof-of-concept package manager for Cairo contracts/libraries. Distribution through pypi. Installation through existing package managers -- p
Visualize a molecule and its conformations in Jupyter notebooks/lab using py3dmol
Mol Viewer This is a simple package wrapping py3dmol for a single command visualization of a RDKit molecule and its conformations (embed as Conformer
Cairo-bloom - A naive bloom filter implementation in Cairo
🥀 cairo-bloom A naive bloom filter implementation in Cairo. A Bloom filter is a
A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
StyleGAN3 CLIP-based guidance StyleGAN3 + CLIP StyleGAN3 + inversion + CLIP This repo is a collection of Jupyter notebooks made to easily play with St
A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
Awesome Machine Learning Jupyter Notebooks for Google Colaboratory A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook
Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.
Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.
For educational purposes, a simple script that assists in solving the word game Wordle.
WordleSolver For educational purposes, a simple script that assists in solving the word game Wordle. Instructions Pick your first word from the sugges
Cairo-math-64x61 - Fixed point 64.61 math library for Cairo / Starknet
Cairo Math 64x61 A fixed point 64.61 math library for Cairo & Starknet Signed 64
Jupyter notebooks and AWS CloudFormation template to show how Hudi, Iceberg, and Delta Lake work
Modern Data Lake Storage Layers This repository contains supporting assets for my research in modern Data Lake storage layers like Apache Hudi, Apache
A Sign Language detection project using Mediapipe landmark detection and Tensorflow LSTM's
sign-language-detection A Sign Language detection project using Mediapipe landmark detection and Tensorflow LSTM. The project is built for a vocabular
Convert monolithic Jupyter notebooks into Ploomber pipelines.
Soorgeon Join our community | Newsletter | Contact us | Blog | Website | YouTube Convert monolithic Jupyter notebooks into Ploomber pipelines. soorgeo
This is an implementation example of a bot that periodically sends predictions to the alphasea-agent.
alphasea-example-model alphasea-example-modelは、 alphasea-agent に対して毎ラウンド、予測を投稿するプログラムです。 Numeraiのexample modelに相当します。 準備 alphasea-example-modelの動作には、
A Python Jupyter Kernel in Slack. Just send Python code as a message.
Slack IPython bot 🤯 One Slack bot to rule them all. PyBot. Just send Python code as a message. Install pip install slack-ipython To start the bot, si
Computer Vision Paper Reviews with Key Summary of paper, End to End Code Practice and Jupyter Notebook converted papers
Computer-Vision-Paper-Reviews Computer Vision Paper Reviews with Key Summary along Papers & Codes. Jonathan Choi 2021 The repository provides 100+ Pap
This Repository is an up-to-date version of Harvard nlp's Legacy code and a Refactoring of the jupyter notebook version as a shell script version.
This Repository is an up-to-date version of Harvard nlp's Legacy code and a Refactoring of the jupyter notebook version as a shell script version.
This jupyter notebook project was completed by me and my friend using the dataset from Kaggle
ARM This jupyter notebook project was completed by me and my friend using the dataset from Kaggle. The world Happiness 2017, which ranks 155 countries
Machine-Learning with python (jupyter)
Machine-Learning with python (jupyter) 머신러닝 야학 작심 10일과 쥬피터 노트북 기반 데이터 사이언스 시작 들어가기전 https://nbviewer.org/ 페이지를 통해서 쥬피터 노트북 내용을 볼 수 있다. 위 페이지에서 현재 레포 기
Create charts with Python in a very similar way to creating charts using Chart.js
Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the the cells of your jupyter notebook environment.
This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework
neon_course This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework. For more information, see
Dive into Machine Learning
Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it 🐍 You're new to Machine Learning You
Jupyter notebooks for the book "The Elements of Statistical Learning".
This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.
Black-Scholes library implemented as a Cairo smart contract
Cairo Black-Scholes Library Black-Scholes library implemented as a Cairo smart contract. All inputs, outputs, and internal calculations use 27-digit f
Implementing a simplified copy of Shazam application from scratch using MinHashing and LSH.
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
Use SQL query in a jupyter notebook!
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
Repository to store sample python programs for python learning
py Repository to store sample Python programs. This repository is meant for beginners to assist them in their learning of Python. The repository cover
Structured, dependable legos for Starknet development.
cairomate • Structured, dependable legos for starknet development. Directory Structure contracts ├─ defi │ ├─ ChainlinkPriceOracle — "Simple price or
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
A platform to display the carbon neutralization information for researchers, decision-makers, and other participants in the community.
Welcome to Carbon Insight Carbon Insight is a platform aiming to display the carbon neutralization roadmap for researchers, decision-makers, and other
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
Tutorial: Introduction to Graph Machine Learning, with Jupyter notebooks
GraphMLTutorialNLDL22 Tutorial NLDL22: Introduction to Graph Machine Learning, with Jupyter notebooks This tutorial takes place during the conference
This project is for finding a solution to use Security Onion Elastic data with Jupyter Notebooks.
This project is for finding a solution to use Security Onion Elastic data with Jupyter Notebooks. The goal is to successfully use this notebook project below with Security Onion for beacon detection capabilities.
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
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
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
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.
Python Machine Learning Jupyter Notebooks (ML website)
Python Machine Learning Jupyter Notebooks (ML website) Dr. Tirthajyoti Sarkar, Fremont, California (Please feel free to connect on LinkedIn here) Also
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
Jupyter notebooks for using & learning Keras
deep-learning-with-keras-notebooks 這個github的repository主要是個人在學習Keras的一些記錄及練習。希望在學習過程中發現到一些好的資訊與範例也可以對想要學習使用 Keras來解決問題的同好,或是對深度學習有興趣的在學學生可以有一些方便理解與上手範例
A proof-of-concept jupyter extension which converts english queries into relevant python code
Text2Code for Jupyter notebook A proof-of-concept jupyter extension which converts english queries into relevant python code. Blog post with more deta
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
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
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
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.
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 (
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
GAT - Graph Attention Network (PyTorch) 💻 + graphs + 📣 = ❤️
GAT - Graph Attention Network (PyTorch) 💻 + graphs + 📣 = ❤️ This repo contains a PyTorch implementation of the original GAT paper ( 🔗 Veličković et
A site that displays up to date COVID-19 stats, powered by fastpages.
https://covid19dashboards.com This project was built with fastpages Background This project showcases how you can use fastpages to create a static das
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
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Hands-on-Machine-Learning 目的 这份笔记旨在帮助中文学习者以一种较快较系统的方式入门机器学习, 是在学习Hands-on Machine Learning with Scikit-Learn and TensorFlow这本书的 时候做的个人笔记: 此项目的可取之处 原书的
This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance
Python for Finance (O'Reilly) This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Analyze Big Financial
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.
Setup and customize deep learning environment in seconds.
Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment supports almost all commonly used deep le
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
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Think Bayes 2 by Allen B. Downey The HTML version of this book is here. Think Bayes is an introduction to Bayesian statistics using computational meth
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
JupyterHub extension for ContainDS Dashboards
ContainDS Dashboards for JupyterHub A Dashboard publishing solution for Data Science teams to share results with decision makers. Run a private on-pre
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.
Ipylivebash - Run shell script in Jupyter with live output
ipylivebash ipylivebash is a library to run shell script in Jupyter with live ou
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
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
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
Py4fi2nd - Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Python for Finance (2nd ed., O'Reilly) This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Mastering Dat
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
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
Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
Recommendation engines are one of the most well known, widely used and highest value use cases for applying machine learning. Despite this, while there are many resources available for the basics of training a recommendation model, there are relatively few that explain how to actually deploy these models to create a large-scale recommender system.