8373 Open source projects that are alternatives of or similar to Ds With Pysimplegui

Support content for my blog

IPython widgets, interactive plots, interactive machine learning

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Best Practices on Recommendation Systems

Best Practices, code samples, and documentation for Computer Vision.

Collection of Artificial Intelligence projects.

Carefully curated resource links for data science in one place

Collection of useful data science topics along with code and articles

💿 Free software that works great, and also happens to be open-source Python.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Cryptocurrency Price Prediction Using LSTM neural network

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Web scrapping and related analytics using Python tools

Code for Machine Learning for Algorithmic Trading, 2nd edition.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

The Go kernel for Jupyter notebooks and nteract.

Curso de Data Science em Português

Efficient Learning of Augmentation Policy Schedules

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A high-level machine learning and deep learning library for the PHP language.

A site that displays up to date COVID-19 stats, powered by fastpages.

Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

Data augmentation for NLP

[UNMAINTAINED] Automated machine learning for analytics & production

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Create HTML profiling reports from pandas DataFrame objects

Resources for weekly Data Science Lunch & Learns

L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Talks & Workshops by the CODAIT team

60_Days_RL_Challenge中文版

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

USC urban data science course series with Python and Jupyter

I will update this repository to learn Machine learning with python with statistics content and materials

Some notebooks

PHP-ML - Machine Learning library for PHP

A workshop on data privacy methods for data scientists.

The data and code that used in my book.

A collection of personal data science projects

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

MRI analysis using PyTorch and MedicalTorch

🎓 Jupyter notebooks from UFC data science course

A Handful of D(u)S(t)

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

Word2Vec models with Twitter data using Spark. Blog:

🍧 A repository that contains courses I have taken on DataCamp

My solution to the book A Collection of Data Science Take-Home Challenges

Multi-class confusion matrix library in Python

An open-source platform for automating tasks using machine learning models

ETL with Python - Taught at DWH course 2017 (TAU)