521 Repositories
Python scikit-learn-tutorial Libraries
Minutaria is a basic educational Python timer used to learn python and software testing libraries.
minutaria minutaria is a basic educational Python timer. The project is educational, it aims to teach myself programming, python programming, python's
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.
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
An educational resource to help anyone learn deep reinforcement learning.
Status: Maintenance (expect bug fixes and minor updates) Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that ma
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
Hierarchical Time Series Forecasting with a familiar API
scikit-hts Hierarchical Time Series with a familiar API. This is the result from not having found any good implementations of HTS on-line, and my work
An open source python library for automated feature engineering
"One of the holy grails of machine learning is to automate more and more of the feature engineering process." ― Pedro Domingos, A Few Useful Things to
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.
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
Projeto de mini-games de azar com interface gráfica utilizando Python e PySimpleGui.
Gambling Mini jogos de azar unidos em uma mesma interface gráfica, utilizando a linguagem de programação Python em conjunto com a biblioteca de interf
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
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
🤖 ⚡ scikit-learn tips
🤖 ⚡ scikit-learn tips New tips are posted on LinkedIn, Twitter, and Facebook. 👉 Sign up to receive 2 video tips by email every week! 👈 List of all
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
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 Practitioner's Guide to Natural Language Processing
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, Text Analytics with Python published by Apress/Springer.
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
Uproot is a library for reading and writing ROOT files in pure Python and NumPy.
Uproot is a library for reading and writing ROOT files in pure Python and NumPy. Unlike the standard C++ ROOT implementation, Uproot is only an I/O li
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
Amazon SageMaker Delta Sharing Examples
This repository contains examples and related resources showing you how to preprocess, train, and serve your models using Amazon SageMaker with data fetched from Delta Lake.
LRBoost is a scikit-learn compatible approach to performing linear residual based stacking/boosting.
LRBoost is a sckit-learn compatible package for linear residual boosting. LRBoost combines a linear estimator and a non-linear estimator to leverage t
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
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
Projeto-menu - This project is designed to learn more about control mechanisms in Python programming
Projeto-menu - This project is designed to learn more about control mechanisms in Python programming
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
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Self-Learning - Books Papers, Courses & more I have to learn soon
Self-Learning This repository is intended to be used for personal use, all rights reserved to respective owners, please cite original authors and ask
AutoGluon: AutoML for Text, Image, and Tabular Data
AutoML for Text, Image, and Tabular Data AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in yo
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
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
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
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
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
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.
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
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible
IMBENS: Class-imbalanced Ensemble Learning in Python Language: English | Chinese/中文 Links: Documentation | Gallery | PyPI | Changelog | Source | Downl
Indonesia's negative news detection using gaussian naive bayes with Django+Scikir Learn
Introduction Indonesia's negative news detection using gaussian naive bayes build with Django and Scikit Learn. There is also any features, are: Input
Smilecreator4 - This site is for people who want to hack or want to learn it!
smilecreator4 This site is for people who want to hack or want to learn it! Furthermore, this program does not work without turning off Antivirus or W
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
The Ultimate PyTorch Source-Build Template Translations: 한국어 TL;DR PyTorch built from source can be x4 faster than a naïve PyTorch install. This repos
A tutorial designed to introduce you to SQlite 3 database using python
SQLite3-python-tutorial A tutorial designed to introduce you to SQlite 3 database using python What is SQLite? SQLite is an in-process library that im
How to Learn a Domain Adaptive Event Simulator? ACM MM, 2021
LETGAN How to Learn a Domain Adaptive Event Simulator? ACM MM 2021 Running Environment: pytorch=1.4, 1 NVIDIA-1080TI. More details can be found in pap
Auto updating website that tracks closed & open issues/PRs on scikit-learn/scikit-learn.
Repository Status for Scikit-learn Live webpage Auto updating website that tracks closed & open issues/PRs on scikit-learn/scikit-learn. Running local
chainladder - Property and Casualty Loss Reserving in Python
chainladder (python) chainladder - Property and Casualty Loss Reserving in Python This package gets inspiration from the popular R ChainLadder package
learn and have fun developing 2D retro games using python and pygame
Retro 2D Game Development Using Python + PyGame Skill up your programming skills with a walk down the memory lane. Learn how to create a retro 2D game
talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.
talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.
An self sufficient AI that crawls the web to learn how to generate art from keywords
Roxx-IO - The Smart Artist AI! TO DO / IDEAS Implement Web-Scraping Functionality Figure out a less annoying (and an off button for it) text to speech
Exploit ILP to learn symmetry breaking constraints of ASP programs.
ILP Symmetry Breaking Overview This project aims to exploit inductive logic programming to lift symmetry breaking constraints of ASP programs. Given a
Resources for teaching & learning practical data visualization with python.
Practical Data Visualization with Python Overview All views expressed on this site are my own and do not represent the opinions of any entity with whi
This is a repository to learn and get more computer vision skills, make robotics projects integrating the computer vision as a perception tool and create a lot of awesome advanced controllers for the robots of the future.
This is a repository to learn and get more computer vision skills, make robotics projects integrating the computer vision as a perception tool and create a lot of awesome advanced controllers for the robots of the future.
PyQt QGraphicsView with selection box. User can move vertical border of the box horizontally.
pyqt-horizontal-selection-square-graphics-view PyQt QGraphicsView with selection box. User can move vertical border of the box horizontally. Requireme
Create a Video Membership app using FastAPI & NoSQL
Video Membership Create a Video Membership app using FastAPI & NoSQL. In this series, we're going to explore building a membership application using F
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences an
Tutorial for the PERFECTING FACTORY 5.0 WITH EDGE-POWERED AI workshop
Workshop Advantech Jetson Nano This tutorial has been designed for the PERFECTING FACTORY 5.0 WITH EDGE-POWERED AI workshop in collaboration with Adva
Quick tutorial on orchest.io that shows how to build multiple deep learning models on your data with a single line of code using python
Deep AutoViML Pipeline for orchest.io Quickstart Build Deep Learning models with a single line of code: deep_autoviml Deep AutoViML helps you build te
Example how to deploy deep learning model with aiohttp.
aiohttp-demos Demos for aiohttp project. Contents Imagetagger Deep Learning Image Classifier URL shortener Toxic Comments Classifier Moderator Slack B
Learn how modern web applications and microservice architecture work as you complete a creative assignment
Micro-service Создание микросервиса Цель работы Познакомиться с механизмом работы современных веб-приложений и микросервисной архитектуры в процессе в
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A quick recipe to learn all about Transformers
Transformers have accelerated the development of new techniques and models for natural language processing (NLP) tasks.
The Python3 import playground
The Python3 import playground I have been confused about python modules and packages, this text tries to clear the topic up a bit. Sources: https://ch
A novel framework to automatically learn high-quality scanning of non-planar, complex anisotropic appearance.
appearance-scanner About This repository is an implementation of the neural network proposed in Free-form Scanning of Non-planar Appearance with Neura
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and so
Testing the Facial Emotion Recognition (FER) algorithm on animations
PegHeads-Tutorial-3 Testing the Facial Emotion Recognition (FER) algorithm on animations
This repo contains everything you'll ever need to learn/revise python basics
Python Notes/cheat sheet Simplified notes to get your Python basics right Just compare code and output side by side and feel the rush of enlightenment
This tutorial repository is to introduce the functionality of KGTK to first-time users
Welcome to the KGTK notebook tutorial The goal of this tutorial repository is to introduce the functionality of KGTK to first-time users. The Knowledg
Robot Hacking Manual (RHM). From robotics to cybersecurity. Papers, notes and writeups from a journey into robot cybersecurity.
RHM: Robot Hacking Manual Download in PDF RHM v0.4 ┃ Read online The Robot Hacking Manual (RHM) is an introductory series about cybersecurity for robo
scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms.
Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ
A model that attempts to learn and benefit from data collected on card counting.
A model that attempts to learn and benefit from data collected on card counting. A decision tree like model is built to win more often than loose and increase the bet of the player appropriately to come out winning as much money as possible.
Stock market bot that will be used to learn about API calls and database connections.
Stock market bot that will be used to learn about API calls and database connections.
Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki
DeepCourse: Deep Learning for Computer Vision arthurdouillard.com/deepcourse/ This is a course I'm giving to the French engineering school EPITA each
Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, numpy and joblib packages.
Pricefy Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, n
Histogramming for analysis powered by boost-histogram
Hist Hist is an analyst-friendly front-end for boost-histogram, designed for Python 3.7+ (3.6 users get version 2.4). See what's new. Installation You
Python language from the beginning.
Python For Beginners Python Programming Language ♦️ Python is a very powerful and user friendly programming language. ❄️ ♦️ There are some basic sytax
Learn about quantum computing and algorithm on quantum computing
quantum_computing this repo contains everything i learn about quantum computing and algorithm on quantum computing what is aquantum computing quantum
Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn
Clustering Clustering Application in Python Using scikit-learn This repository contains the prediction of baseball metric clusters using MLB Statcast
A Vision Transformer approach that uses concatenated query and reference images to learn the relationship between query and reference images directly.
A Vision Transformer approach that uses concatenated query and reference images to learn the relationship between query and reference images directly.
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required.
A setup script to generate ITK Python Wheels
ITK Python Package This project provides a setup.py script to build ITK Python binary packages and infrastructure to build ITK external module Python
Learn python and flask,just a tony blog system
flaskblog Learn python and flask,just a tony blog system based on flask and mysql It is similar to cleanblog, a blog system based on flask and mongoen
Collection of sports betting AI tools.
sports-betting sports-betting is a collection of tools that makes it easy to create machine learning models for sports betting and evaluate their perf
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
A sample Python project A sample project that exists as an aid to the Python Packaging User Guide's Tutorial on Packaging and Distributing Projects. T
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
SkFlow has been moved to Tensorflow. SkFlow has been moved to http://github.com/tensorflow/tensorflow into contrib folder specifically located here. T
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo
Python library for multilinear algebra and tensor factorizations
scikit-tensor is a Python module for multilinear algebra and tensor factorizations
Pipeline for training LSA models using Scikit-Learn.
Latent Semantic Analysis Pipeline for training LSA models using Scikit-Learn. Usage Instead of writing custom code for latent semantic analysis, you j
Learn Python Regular Expressions step by step from beginner to advanced levels
Python re(gex)? Learn Python Regular Expressions step by step from beginner to advanced levels with hundreds of examples and exercises The book also i
A selection of a few algorithms used to sort or search an array
Sort and search algorithms This repository has some common search / sort algorithms written in python, I also included the pseudocode of each algorith