Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
updated at Nov. 6, 2024, 1:37 a.m.
Crafty statistical graphics for Julia.
updated at Nov. 6, 2024, 1:32 a.m.
Reinforcement learning using Markov Decision Processes. For JS, written in C++.
updated at Nov. 5, 2024, 9:33 p.m.
Easy benchmarking of all publicly accessible implementations of convnets
updated at Nov. 5, 2024, 2:35 p.m.
Convenience meta-package to load essential packages for statistics
updated at Nov. 5, 2024, 9:41 a.m.
UNMAINTAINED! Renders beautiful SVG maps in Python.
updated at Nov. 5, 2024, 5:16 a.m.
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
updated at Nov. 5, 2024, 3:36 a.m.
A Julia package for evaluating distances (metrics) between vectors.
updated at Nov. 5, 2024, 1:43 a.m.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3
updated at Nov. 4, 2024, 9:13 p.m.
A Julia package for Gaussian Processes
updated at Nov. 4, 2024, 7:19 p.m.
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
updated at Nov. 4, 2024, 3:05 p.m.
Current version of the SuperLearner R package
updated at Nov. 4, 2024, 2:38 p.m.