TinNet
Neural network library
A compact C++17-based deep learning library designed to simplify the implementation of neural networks.
A compact C++17 based deep learning library.
16 stars
7 watching
0 forks
Language: C++
last commit: over 4 years ago
Linked from 1 awesome list
deep-learninglibrarymachine-learningneural-networkreinforcement-learning
Related projects:
Repository | Description | Stars |
---|---|---|
tyill/sunnet | A lightweight C++ deep learning library for building and training neural networks. | 61 |
glouw/tinn | A lightweight neural network library for training and prediction tasks | 2,108 |
100/cranium | A lightweight, portable C implementation of a feedforward artificial neural network library | 592 |
attractivechaos/kann | A lightweight C library for constructing and training small to medium neural networks with customizable architecture | 686 |
mrdimosthenis/synapsescsharp | A C# library for building and training neural networks | 1 |
nikolaypavlov/mlpneuralnet | A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration. | 900 |
google-research/tf-slim | A lightweight library for defining and training neural networks in TensorFlow. | 372 |
jackm321/rustnn | A neural network library written in Rust for building and training feedforward artificial neural networks. | 335 |
totemstech/neuraln | A C++ library for building and training neural networks with high-performance support for large datasets. | 275 |
libfann/fann | A C++ library for building and training artificial neural networks | 1,594 |
unagiootoro/ruby-dnn | A Ruby-based deep learning library for building and training neural networks | 46 |
mrdimosthenis/clj-synapses | A Clojure-based neural networks library for building and training artificial neural networks. | 1 |
jbarrow/lambdanet | An artificial neural network library for rapid prototyping and extension in Haskell. | 377 |
taehoonlee/tensornets | A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. | 1,004 |
brunjlar/neural | A Haskell-based framework for flexible neural networks and similar parameterized models with automatic differentiation and modular training algorithms. | 123 |