317 Repositories
Python matplotlib-tutorial Libraries
https://sites.google.com/cornell.edu/recsys2021tutorial
Counterfactual Learning and Evaluation for Recommender Systems (RecSys'21 Tutorial) Materials for "Counterfactual Learning and Evaluation for Recommen
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
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
06_Python_Object_Class Introduction 👋 Objected oriented programming as a discipline has gained a universal following among developers. Python, an in-
Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
02_Python_Datatypes Introduction 👋 Data types specify the different sizes and values that can be stored in the variable. For example, Python stores n
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
07_Python_Advanced_Topics Introduction 👋 In this tutorial, you will learn about: Python Iterators: They are objects that can be iterated upon. In thi
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
The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your own.
90_Python_Exercises_and_Challenges The best way to learn Python is by practicing examples. This repository contains the examples on basic and advance
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
12_Python_Seaborn_Module Introduction 👋 From the website, “Seaborn is a Python data visualization library based on matplotlib. It provides a high-lev
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
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
Python Decision Tree and Random Forest Decision Tree A Decision Tree is one of the popular and powerful machine learning algorithms that I have learne
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
GTK4 + Python tutorial with code examples
Taiko's GTK4 Python tutorial Wanna make apps for Linux but not sure how to start with GTK? This guide will hopefully help! The intent is to show you h
Boilerplate template formwork for a Python Flask application with Mysql,Build dynamic websites rapidly.
Overview English | 简体中文 How to Build dynamic web rapidly? We choose Formwork-Flask. Formwork is a highly packaged Flask Demo. It's intergrates various
An introduction to free, automated web scraping with GitHub’s powerful new Actions framework.
An introduction to free, automated web scraping with GitHub’s powerful new Actions framework Published at palewi.re/docs/first-github-scraper/ Contrib
Tutorial materials for Part of NSU Intro to Deep Learning with PyTorch.
Intro to Deep Learning Materials are part of North South University (NSU) Intro to Deep Learning with PyTorch workshop series. (Slides) Related materi
Resources complimenting the Machine Learning Course led in the Faculty of mathematics and informatics part of Sofia University.
Machine Learning and Data Mining, Summer 2021-2022 How to learn data science and machine learning? Programming. Learn Python. Basic Statistics. Take a
Privacy-Preserving Machine Learning (PPML) Tutorial Presented at PyConDE 2022
PPML: Machine Learning on Data you cannot see Repository for the tutorial on Privacy-Preserving Machine Learning (PPML) presented at PyConDE 2022 Abst
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
This tutorial aims to learn the basics of deep learning by hands, and master the basics through combination of lectures and exercises
2021-Deep-learning This tutorial aims to learn the basics of deep learning by hands, and master the basics through combination of paper and exercises.
A workshop on data visualization in Python with notebooks and exercises for following along.
Beyond the Basics: Data Visualization in Python The human brain excels at finding patterns in visual representations, which is why data visualizations
A tutorial on DataFrames.jl prepared for JuliaCon2021
JuliaCon2021 DataFrames.jl Tutorial This is a tutorial on DataFrames.jl prepared for JuliaCon2021. A video recording of the tutorial is available here
Tutorial repo for an end-to-end Data Science project
End-to-end Data Science project This is the repo with the notebooks, code, and additional material used in the ITI's workshop. The goal of the session
In this tutorial, you will perform inference across 10 well-known pre-trained object detectors and fine-tune on a custom dataset. Design and train your own object detector.
Object Detection Object detection is a computer vision task for locating instances of predefined objects in images or videos. In this tutorial, you wi
Tutorial on Tempo, Beat and Downbeat estimation
Tempo, Beat and Downbeat Estimation By Matthew E. P. Davies, Sebastian Böck and Magdalena Fuentes Resources and Jupyter Book for the ISMIR 2021 tutori
Create matplotlib visualizations from the command-line
MatplotCLI Create matplotlib visualizations from the command-line MatplotCLI is a simple utility to quickly create plots from the command-line, levera
The refactoring tutorial I wrote for PyConDE 2022. You can also work through the exercises on your own.
Refactoring 101 planet images by Justin Nichol on opengameart.org CC-BY 3.0 Goal of this Tutorial In this tutorial, you will refactor a space travel t
Sci palettes for matplotlib/seaborn
sci palettes for matplotlib/seaborn Installation python3 -m pip install sci-palettes Usage import seaborn as sns import matplotlib.pyplot as plt impor
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
A repo for materials relating to the tutorial of CS-332 NLP
CS-332-NLP A repo for materials relating to the tutorial of CS-332 NLP Contents Tutorial 1: Introduction Corpus Regular expression Tokenization Tutori
NCAR/UCAR virtual Python Tutorial Seminar Series lesson on MetPy.
The Project Pythia Python Tutorial Seminar Series continues with a lesson on MetPy on Wednesday, 2 February 2022 at 1 PM Mountain Standard Time.
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
Automatization of BoxPlot graph usin Python MatPlotLib and Excel
BoxPlotGraphAutomation Automatization of BoxPlot graph usin Python / Excel. This file is an automation of BoxPlot-Graph using python graph library mat
Tutorial page of the Climate Hack, the greatest hackathon ever
Tutorial page of the Climate Hack, the greatest hackathon ever
1900-2016 Olympic Data Analysis in Python by plotting different graphs
🔥 Olympics Data Analysis 🔥 In Data Science field, there is a big topic before creating a model for future prediction is Data Analysis. We can find o
Simple-nft-tutorial - A simple tutorial on making nft/memecoins on algorand
nft/memecoin Tutorial on Algorand Let's make a simple NFT/memecoin on the Algora
This repository contains the source code for the paper Tutorial on amortized optimization for learning to optimize over continuous domains by Brandon Amos
Tutorial on Amortized Optimization This repository contains the source code for the paper Tutorial on amortized optimization for learning to optimize
To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction
To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction. The challenge aims to adress the problems of medical imbalanced data classification.
Orchestrating Distributed Materials Acceleration Platform Tutorial
Orchestrating Distributed Materials Acceleration Platform Tutorial This tutorial for orchestrating distributed materials acceleration platform was pre
Code for my JWT auth for FastAPI tutorial
FastAPI tutorial Code for my video tutorial FastAPI tutorial What is FastAPI? FastAPI is a high-performant REST API framework for Python. It's built o
Color maps for POV-Ray v3.7 from the Plasma, Inferno, Magma and Viridis color maps in Python's Matplotlib
POV-Ray-color-maps Color maps for POV-Ray v3.7 from the Plasma, Inferno, Magma and Viridis color maps in Python's Matplotlib. The include file Color_M
visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem
visualize_ML visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem. It is build
scikit-learn is a python module for machine learning built on top of numpy / scipy
About scikit-learn is a python module for machine learning built on top of numpy / scipy. The purpose of the scikit-learn-tutorial subproject is to le
A Dm Bot, also knows as Mass DM bot which can send one message to All of the Users in a Specific Server!
Discord DM Bot discord.py 1.7.2 python 3.9.5 asyncio 3.4.3 Installation Cloud Host Tutorial uploaded in YouTube, watch it by clicking here. Local Host
Tutorial for Decision Threshold In Machine Learning.
Decision-Threshold-ML Tutorial for improve skills: 'Decision Threshold In Machine Learning' (from GeeksforGeeks) by Marcus Mariano For more informatio
Neural Machine Translation (NMT) tutorial with OpenNMT-py
Neural Machine Translation (NMT) tutorial with OpenNMT-py. Data preprocessing, model training, evaluation, and deployment.
This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning
This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning. It is a Web Application.
Plot toolbox based on Matplotlib, simple and elegant.
Elegant-Plot Plot toolbox based on Matplotlib, simple and elegant. 绘制效果 绘制过程 数据准备 每种图标类型的目录下有data.csv文件,依据样例数据填入自己的数据。
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
A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
intro-to-causal-inference A introduction to causal inference using common tools from the python data stack Table of Contents Getting Started Install g
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
Code for my FastAPI tutorial
FastAPI tutorial Code for my video tutorial FastAPI tutorial What is FastAPI? FastAPI is a high-performant REST API framework for Python. It's built o
100 Days of Code The Complete Python Pro Bootcamp for 2022
100-Day-With-Python 100 Days of Code - The Complete Python Pro Bootcamp for 2022. In this course, I spend with python language over 100 days, and I up
A curated list of awesome Deep Learning tutorials, projects and communities.
Awesome Deep Learning Table of Contents Books Courses Videos and Lectures Papers Tutorials Researchers Websites Datasets Conferences Frameworks Tools
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
SegNet and Bayesian SegNet Tutorial This repository contains all the files for you to complete the 'Getting Started with SegNet' and the 'Bayesian Seg
VDLdraw - Batch plot the log files exported from VisualDL using Matplotlib
VDLdraw Batch plot the log files exported from VisualDL using Matplotlib. At pre
PyQt Custom Frameless Main Window (Enable to move and resize)
pyqt-custom-frameless-mainwindow PyQt Custom Frameless Main Window (Enable to move and resize) Requirements PyQt5 = 5.8 Setup pip3 install git+https:
The repository is my code for various types of data visualization cases based on the Matplotlib library.
ScienceGallery The repository is my code for various types of data visualization cases based on the Matplotlib library. It summarizes the code and cas
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
How to eat TensorFlow2 in 30 days ? 🔥 🔥 Click here for Chinese Version(中文版) 《10天吃掉那只pyspark》 🚀 github项目地址: https://github.com/lyhue1991/eat_pyspark
A python tutorial on bayesian modeling techniques (PyMC3)
Bayesian Modelling in Python Welcome to "Bayesian Modelling in Python" - a tutorial for those interested in learning how to apply bayesian modelling t
This is code of book "Learn Deep Learning with PyTorch"
深度学习入门之PyTorch Learn Deep Learning with PyTorch 非常感谢您能够购买此书,这个github repository包含有深度学习入门之PyTorch的实例代码。由于本人水平有限,在写此书的时候参考了一些网上的资料,在这里对他们表示敬意。由于深度学习的技术在
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
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
TensorFlow Tutorial - used by Nvidia Learn TensorFlow from scratch by examples and visualizations with interactive jupyter notebooks. Learn to compete
Scenarios, tutorials and demos for Autonomous Driving
The Autonomous Driving Cookbook (Preview) NOTE: This project is developed and being maintained by Project Road Runner at Microsoft Garage. This is cur
Displaying plot of death rates from past years in Poland. Data source from these years is in readme
Average-Death-Rate Displaying plot of death rates from past years in Poland The goal collect the data from a CSV file count the ADR (Average Death Rat
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
In this repo, I will put all the code related to data science using python libraries like Numpy, Pandas, Matplotlib, Seaborn and many more.
Python-for-DS In this repo, I will put all the code related to data science using python libraries like Numpy, Pandas, Matplotlib, Seaborn and many mo
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
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
Break The Ice With Python A journey of 100+ simple yet interesting problems which are explained, solved, discussed in different pythonic ways Introduc
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
Course materials and handouts for #100DaysOfCode in Python course
#100DaysOfCode with Python course Course details page: talkpython.fm/100days Course Summary #100DaysOfCode in Python is your perfect companion to take
Code and data accompanying Natural Language Processing with PyTorch
Natural Language Processing with PyTorch Build Intelligent Language Applications Using Deep Learning By Delip Rao and Brian McMahan Welcome. This is a
PyGame-Tutorial - Refrence for building games in pygame
PyGame-Tutorial How to build games using the python library PyGame End result Ho
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.
Tutorial on scikit-learn and IPython for parallel machine learning
Parallel Machine Learning with scikit-learn and IPython Video recording of this tutorial given at PyCon in 2013. The tutorial material has been rearra
Materials for my scikit-learn tutorial
Scikit-learn Tutorial Jake VanderPlas email: [email protected] twitter: @jakevdp github: jakevdp This repository contains notebooks and other files assoc
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
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.
A list of NLP(Natural Language Processing) tutorials
NLP Tutorial A list of NLP(Natural Language Processing) tutorials built on PyTorch. Table of Contents A step-by-step tutorial on how to implement and
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
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Introduction This tutorial is a complete re-imagining of how one should teach users the matplotlib library. Hopefully, this tutorial may serve as insp
This repository contains small projects related to Neural Networks and Deep Learning in general.
ILearnDeepLearning.py Description People say that nothing develops and teaches you like getting your hands dirty. This repository contains small proje
Simulation du problème de Monty Hall avec Python et matplotlib
Le problème de Monty Hall C'est un jeu télévisé où il y a trois portes sur le plateau de jeu. Seule une de ces portes cache un trésor. Il n'y a rien d
Algorand-app - This tutorial is designed to get you started with Algorand development in a step by step process
Getting Started This tutorial is designed to get you started with Algorand devel
A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial.
Streamlit Demo: Deep Dream A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial How to run this de
A comprehensive and FREE Online Python Development tutorial going step-by-step into the world of Python.
FREE Reverse Engineering Self-Study Course HERE Fundamental Python The book and code repo for the FREE Fundamental Python book by Kevin Thomas. FREE B
Python’s bokeh, holoviews, matplotlib, plotly, seaborn package-based visualizations about COVID statistics eventually hosted as a web app on Heroku
COVID-Watch-NYC-Python-Visualization-App Python’s bokeh, holoviews, matplotlib, plotly, seaborn package-based visualizations about COVID statistics ev
Nmt - TensorFlow Neural Machine Translation Tutorial
Neural Machine Translation (seq2seq) Tutorial Authors: Thang Luong, Eugene Brevdo, Rui Zhao (Google Research Blogpost, Github) This version of the tut
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
Imutils - A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
imutils A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displ
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Please read the blog post that goes with this code! Jupyter Notebook Setup System Requirements: Python, pip (Optional) virtualenv To start the Jupyter
Hitchhikers-guide - The Hitchhiker's Guide to Data Science for Social Good
Welcome to the Hitchhiker's Guide to Data Science for Social Good. What is the Data Science for Social Good Fellowship? The Data Science for Social Go
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
Tensorflow-Project-Template - A best practice for tensorflow project template architecture.
Tensorflow Project Template A simple and well designed structure is essential for any Deep Learning project, so after a lot of practice and contributi
Optimizers-visualized - Visualization of different optimizers on local minimas and saddle points.
Optimizers Visualized Visualization of how different optimizers handle mathematical functions for optimization. Contents Installation Usage Functions
A list of NLP(Natural Language Processing) tutorials built on Tensorflow 2.0.
A list of NLP(Natural Language Processing) tutorials built on Tensorflow 2.0.
Function-Plotter - GUI Python program that plots functions that are entered by the user
FunctionPlotter GUI Python program that plots functions that are entered by the user. The program takes minimum and maximum value for x and plot it as
Python IMDB Docker - A docker tutorial to containerize a python script.
Python_IMDB_Docker A docker tutorial to containerize a python script. Build the docker in the current directory: docker build -t python-imdb . Run the