9168 Open source projects that are alternatives of or similar to Tutorials

Teaching Materials for Dr. Waleed A. Yousef

Applying Data Science and Machine Learning to Solve Real World Business Problems

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

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

Collection of Artificial Intelligence projects.

🟣 Object detection of abstract shapes with neural networks

A simple probabilistic programming language.

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

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.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Learn Python for free using open-source notebooks in Hebrew.

About math, programming and procedural generation

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.

📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->

Data Science Best Practices with pandas

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

深度学习在推荐系统中的应用及论文小结。

Support content for my blog

Google Colaboratory Notebooks and Repositories (by @firmai)

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Allstate Kaggle Competition ML Capstone Project

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

Source material for Python Like You Mean it

SuperComputing 2017 Deep Learning Tutorial

Koç University deep learning framework.

Tutorials and training material for the H2O Machine Learning Platform

Tutorial: Web scraping in Python with Beautiful Soup

Probabilistic reasoning and statistical analysis in TensorFlow

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Jupyter notebooks from the scikit-learn video series

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

An intro to Python & programming for wanna-be data scientists

Self-study plan to achieve mastery in data science

Ways of doing Data Science Engineering and Machine Learning in R and Python

Introduction to pandas Treehouse course

Human Activity Recognition (HAR) with Keras and CoreML

pytorch 包教不包会

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

A workshop on data privacy methods for data scientists.

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

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RadIO is a library for data science research of computed tomography imaging

100+ python programming exercise problem discussed ,explained and solved in different ways

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

Tutorial Sessions for SciPy Con 2019

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Jupyter notebook and datasets from the pandas Q&A video series

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Complete path for a beginner to become a Machine Learning Scientist!

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

Datasets, tools, and benchmarks for representation learning of code.

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra