534 Open source projects that are alternatives of or similar to Lossfunctions.jl

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

PHP-ML - Machine Learning library for PHP

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

Scala Library/REPL for Machine Learning Research

MLBox is a powerful Automated Machine Learning python library.

🍊 📊 💡 Orange: Interactive data analysis

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

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.

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

Examples use case of PHP-ML library.

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

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.

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

《深度学习与计算机视觉》配套代码

LAMA - automatic model creation framework

R package to interface with OpenML

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Python Machine Learning Algorithms

ugtm: a Python package for Generative Topographic Mapping

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

Artificial Neural Network

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

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

An Interactive Approach to Understanding Deep Learning with Keras

A Julia machine learning framework

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Code for Java Deep Learning Cookbook

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

Code and Resources for "Applied Machine Learning"

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Apparel detection using deep learning

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

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

Online machine learning methods

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Vectorized Machine Learning in Python 🐍 From Scratch

An implementation of multivariate projection pursuit regression and univariate classification

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

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

All Algorithms implemented in R

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

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

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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

mlr3: Machine Learning in R - next generation

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

Various methods for generating synthetic data for data science and ML

Tribuo - A Java machine learning library

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

Yet another neural network library

Code for Tensorflow Machine Learning Cookbook

Comparison tools

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

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Statistical Machine Intelligence & Learning Engine

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

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