281 Open source projects that are alternatives of or similar to Ycml

An Interactive Approach to Understanding Supervised Learning Algorithms

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

IPython widgets, interactive plots, interactive machine learning

PHP-ML - Machine Learning library for PHP

Vectorized Machine Learning in Python 🐍 From Scratch

Tensorflow Implementation of MAML

R package to interface with OpenML

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

ThunderSVM: A Fast SVM Library on GPUs and CPUs

MLBox is a powerful Automated Machine Learning python library.

Shiny dashboard for Land Use Regression modelling

GPU Javascript Library for Machine Learning

一些常用的机器学习算法实现

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

A Julia machine learning framework

Python3 project applying Gaussian process regression for forecasting stock trends

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Artificial Neural Networks for Scala

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

A Python library for time series forecasting

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

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

机器学习与深度学习算法示例

Stock Price Prediction using Machine Learning Techniques

Conversion of R Regression Output to LaTeX or HTML Tables

Test/benchmark regression and comparison system with dashboard

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

《深度学习与计算机视觉》配套代码

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.

GPstuff - Gaussian process models for Bayesian analysis

Yet another neural network library

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

An Interactive Approach to Understanding Deep Learning with Keras

Julia package of loss functions for machine learning.

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

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Tribuo - A Java machine learning library

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

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

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

🎓 Tidy regression tools for academics

Tools for developing linear regression models

Toolbox of models, callbacks, and datasets for AI/ML researchers.

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

Code for Tensorflow Machine Learning Cookbook

An extensive machine learning library, made from scratch (Python).

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

Statistical Machine Intelligence & Learning Engine

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

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

A deep neural network that learns to drive in video games

A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

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

Machine Learning in R