treelite by dmlc

Universal model exchange and serialization format for decision tree forests

created at June 28, 2017, 11:39 p.m.

C++

39 +0

738 +0

100 +0

GitHub
jubatus by jubatus

Framework and Library for Distributed Online Machine Learning

created at Oct. 25, 2011, 5:24 p.m.

C++

89 +0

707 +1

140 +0

GitHub
thundergbm by Xtra-Computing

ThunderGBM: Fast GBDTs and Random Forests on GPUs

created at Nov. 11, 2016, 9:58 a.m.

C++

26 +0

693 +0

86 +0

GitHub
tensorflow-upstream by ROCm

TensorFlow ROCm port

created at April 9, 2018, 9:24 p.m.

C++

50 +0

688 +0

94 +0

GitHub
marsyas by marsyas

Marsyas - Music Analysis, Retrieval and Synthesis for Audio Signals

created at June 24, 2013, 9:24 p.m.

C++

37 +0

406 +0

97 +0

GitHub
rgf by RGF-team

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

created at June 8, 2016, 3:48 p.m.

C++

18 +0

378 +0

58 +0

GitHub
Yaafe by Yaafe

Audio features extraction

created at June 27, 2013, 3:21 p.m.

C++

17 +0

244 +0

43 +0

GitHub
MAgent2 by Farama-Foundation

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

created at Sept. 5, 2022, 4:29 p.m.

C++

3 +0

228 +1

38 +0

GitHub
LibXtract by jamiebullock

LibXtract is a simple, portable, lightweight library of audio feature extraction functions.

created at May 31, 2012, 3:16 p.m.

C++

30 +0

227 +0

46 +0

GitHub
liquidSVM by liquidSVM

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

created at April 22, 2017, 10:16 p.m.

C++

5 +0

66 +0

9 +0

GitHub
mxnet by ROCm

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

created at April 14, 2017, 6:46 p.m.

C++

30 +0

28 +0

9 +0

GitHub