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.
created at March 3, 2014, 4:08 p.m.
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
created at Oct. 18, 2014, 6:10 p.m.
Hopfield Networks for unsupervised learning in Haskell
created at Nov. 20, 2013, 6:06 p.m.
Haskell implementations of various ML algorithms.
created at Oct. 12, 2013, 2:03 p.m.
go binding for mxnet c_predict_api to do inference with pre-trained model
created at Dec. 12, 2016, 10:28 a.m.
Ensembles of decision trees in go/golang.
created at Oct. 22, 2012, 5:38 p.m.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
created at Jan. 23, 2015, 7:38 p.m.