6890 Open source projects that are alternatives of or similar to The Deep Learning With Keras Workshop

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

General Assembly's 2015 Data Science course in Washington, DC

🍊 📊 💡 Orange: Interactive data analysis

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

IPython widgets, interactive plots, interactive machine learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Simple machine learning library / 簡單易用的機器學習套件

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Machine Learning models from scratch with a better visualisation

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

A collection of all projects pertaining to different layers in the SDC software stack

R package to interface with OpenML

Curated Tensorflow code resources to help you get started with Deep Learning.

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.

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Artificial Neural Networks for Scala

Collection of stats, modeling, and data science tools in Python and R.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

🤖 A portable, header-only, artificial neural network library written in C99

A Julia machine learning framework

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.

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

A python library for decision tree visualization and model interpretation.

This repository consists of all my Machine Learning Projects.

Predicting forex binary options using time series data and machine learning

An open-source, low-code machine learning library in Python

An implementation of multivariate projection pursuit regression and univariate classification

For extensive instructor led learning

Comparison tools

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Code for Tensorflow Machine Learning Cookbook

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

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Yet another neural network library

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

Python Machine Learning Algorithms

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

The "Python Machine Learning (1st edition)" book code repository and info resource

Python code for common Machine Learning Algorithms

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Jupyter notebooks from the scikit-learn video series

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

All Algorithms implemented in R

Artificial Neural Network

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

Plain python implementations of basic machine learning algorithms

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

Compilation of R and Python programming codes on the Data Professor YouTube channel.

機器學習: Python

BERT-NER (nert-bert) with google bert https://github.com/google-research.

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

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Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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mlr3: Machine Learning in R - next generation

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning