BIDMach
Machine Learning Library
A fast machine learning library that uses CPU and GPU acceleration.
CPU and GPU-accelerated Machine Learning Library
916 stars
87 watching
168 forks
Language: Scala
last commit: about 2 years ago
Linked from 4 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
biddata/bidmat | A high-performance matrix library with CPU and GPU acceleration for data mining applications. | 265 |
benhamner/machinelearning.jl | A Julia library providing a consistent API for common machine learning algorithms | 116 |
denosaurs/netsaur | A machine learning library with GPU, CPU, and WASM backends for building neural networks. | 232 |
mitmath/18337 | A course project on parallel computing and scientific machine learning using Julia programming language | 225 |
ajtulloch/haskell-ml | Implementations of basic machine learning algorithms in Haskell | 57 |
vu-aml/adlib | A library providing a set of learner and adversary modules for game-theoretic machine learning. | 58 |
aunum/goro | A high-level machine learning library built on Gorgonia for Go that aims to provide an easy-to-use interface for building and training neural networks. | 372 |
mikeizbicki/hlearn | Developing a high-performance machine learning library that balances speed and flexibility in Haskell | 1,622 |
dask/dask-ml | A Python library for scalable machine learning using Dask alongside popular ML libraries | 902 |
ml-tooling/ml-workspace | An all-in-one web-based IDE for machine learning and data science | 3,434 |
mrdimosthenis/synapses | A collection of libraries for building and training neural networks in various programming languages | 70 |
kei500/liblinear-ruby | Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |
jwasham/machine-learning | A collection of Matlab/Octave implementations of common machine learning algorithms and their underlying mathematics. | 62 |
fukuball/fuku-ml | An easy-to-use machine learning library with various algorithms for classification and regression tasks. | 281 |
mrdimosthenis/emel | A Gleam implementation of a machine learning library with support for various algorithms and data types | 105 |