Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats
created at Oct. 21, 2013, 2:12 p.m.
Provides and wraps the Randomkit library, copied from Numpy.
created at Oct. 25, 2013, 5:02 p.m.
Metric learning algorithms in Python
created at Nov. 2, 2013, 8:29 a.m.
Tools, wrappers, etc... for data science with a concentration on text processing
created at Nov. 3, 2013, 4:13 p.m.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
created at Nov. 19, 2013, 4:41 a.m.
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
created at Nov. 19, 2013, 11:47 p.m.
GPU-Accelerated Deep Learning Library in Python
created at Nov. 20, 2013, 7:01 a.m.
Hopfield Networks for unsupervised learning in Haskell
created at Nov. 20, 2013, 6:06 p.m.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
created at Nov. 27, 2013, 2:03 a.m.
Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
created at Nov. 28, 2013, 9:15 p.m.
Machine Learning libraries for Go Lang - Linear regression, Logistic regression, etc.
created at Dec. 1, 2013, 4:02 p.m.
Distributed, masterless, high performance, fault tolerant data processing
created at Dec. 2, 2013, 1:21 a.m.