Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Directory
Search results
Published directory entries matching your search.
Course content and resources for the AIAIART course.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Generalized linear models in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Deep Neural Networks for Golang (powered by MXNet).
Fast and convenient feature processing for low latency machine learning in Go.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Benchmarks of machine learning inference for Go.
An open source Go transpiler for machine learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine learning library written in pure Go.
A high-level machine learning library in the vein of Keras.
An offline recommender system backend based on collaborative filtering written in Go.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
A hands-on course to train and deploy a serverless API that predicts crypto prices.
Fundamentals of machine learning in python.