14 open source tools to make the most of machine learning

Linking pages

Linked pages

GitHub - cortexlabs/cortex: Production infrastructure for machine learning at scale https://github.com/cortexlabs/cortex 61 comments
GitHub - gradio-app/gradio: Create UIs for your machine learning model in Python in 3 minutes https://github.com/gradio-app/gradio 48 comments
Weka 3 - Data Mining with Open Source Machine Learning Software in Java http://www.cs.waikato.ac.nz/ml/weka/ 42 comments
mlpack - Home http://mlpack.org/ 21 comments
GitHub - sjwhitworth/golearn: Machine Learning for Go https://www.github.com/sjwhitworth/golearn 10 comments
GitHub - alteryx/compose: A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning. https://github.com/FeatureLabs/compose 1 comment
** MLbase ** http://www.mlbase.org/ 1 comment
Core ML Tools Overview https://coremltools.readme.io/ 0 comments
GitHub - h2oai/h2o-3: H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. https://github.com/h2oai/h2o-3 0 comments
Apache Mahout http://mahout.apache.org/ 0 comments
GitHub - Lightning-AI/lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast. https://github.com/PyTorchLightning/pytorch-lightning 0 comments