ML hyperparameters tuning and features selection, using evolutionary algorithms.
created at Jan. 18, 2020, 7:16 p.m.
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
created at May 8, 2019, 5:14 a.m.
Code for Allen Downey's book Think Complexity, published by O'Reilly Media.
created at Jan. 8, 2013, 3:03 p.m.
A lightweight C++ machine learning library for embedded electronics and robotics.
created at Aug. 7, 2015, 2:54 a.m.
Natural Language Processing in Clojure (opennlp)
created at Feb. 17, 2010, 1:47 a.m.
NodeJS Implementation of Decision Tree using ID3 Algorithm
created at April 28, 2013, 11:11 a.m.
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
created at April 18, 2018, 7:51 p.m.
A parallel framework for deep learning
created at July 29, 2018, 10:09 p.m.
Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)
created at Aug. 13, 2014, 4:50 p.m.
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
created at March 12, 2014, 9:59 p.m.
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
created at Aug. 18, 2020, 5:41 p.m.
Self-contained Machine Learning and Natural Language Processing library in Go
created at Jan. 5, 2020, 8:39 p.m.
ThunderGBM: Fast GBDTs and Random Forests on GPUs
created at Nov. 11, 2016, 9:58 a.m.
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
created at March 27, 2016, 9:52 p.m.