323 Open source projects that are alternatives of or similar to Machinelearningalgorithm

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

This repository consists of all my Machine Learning Projects.

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Basis expansion transformers in sklearn style.

Tribuo - A Java machine learning library

PHP-ML - Machine Learning library for PHP

Using python and scikit-learn to make stock predictions

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

Measure and visualize machine learning model performance without the usual boilerplate.

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Code for Tensorflow Machine Learning Cookbook

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

a package for versioning, automatization and analysis of machine learning development

📢 Ready to learn or review your knowledge!

computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...

Tensorflow Implementation of MAML

Serverless Inferencing on Kubernetes

A repository for recording the machine learning code

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Precompiled packages for AWS Lambda

Statistical Machine Intelligence & Learning Engine

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

Face detection and facial recognition along with recognized persons information fetched from database.

Yet another neural network library

Examples use case of PHP-ML library.

🧙 A web app to generate template code for machine learning

A practical guide to topic mining and interactive visualizations

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Shiny dashboard for Land Use Regression modelling

A Flask webapp & Python scripts for predicting reddit users' political leaning, using their comment history.

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

Python3 project applying Gaussian process regression for forecasting stock trends

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

Test/benchmark regression and comparison system with dashboard

🎓 Tidy regression tools for academics

A Python library for time series forecasting

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Machine Learning University: Accelerated Tabular Data Class

R package to interface with OpenML

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

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.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

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

A collection of tools for chemometrics and machine learning written in Julia.

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

MLBox is a powerful Automated Machine Learning python library.

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

A Julia machine learning framework

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

Open solution to the Santander Value Prediction Challenge 🐠

[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

mlr3: Machine Learning in R - next generation

An Interactive Approach to Understanding Deep Learning with Keras

《深度学习与计算机视觉》配套代码

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing