| libtensorflow-gpu |
1.2.0-1 |
4 |
0.90 |
Assembled TenforFlow library for computation using data flow graphs on GPU. |
daskol
|
| dlib |
19.21-5 |
33 |
0.67 |
A general purpose cross-platform C++ library designed using contract programming and modern C++ techniques |
pingplug
|
| ncnn |
20201208-1 |
1 |
0.64 |
High-performance neural network inference framework optimized for the mobile platform |
ipha
|
| openface-git |
ac4ded4-1 |
3 |
0.60 |
Face recognition with deep neural networks. |
kylesferrazza
|
| python-pytorch-rocm |
1.7.1-7 |
2 |
0.49 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with ROCM) |
acxz
|
| python-pytorch-opt-rocm |
1.7.1-7 |
2 |
0.49 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with ROCM and AVX2 CPU optimizations) |
acxz
|
| lc0 |
0.26.2-1 |
1 |
0.41 |
UCI-compliant chess engine designed to play chess via neural network, specifically those of the LeelaChessZero project. |
ivanmlerner
|
| ncnn-git |
20200916.r37.g09011f36-1 |
3 |
0.31 |
High-performance neural network inference framework optimized for the mobile platform |
ipha
|
| netron-bin |
4.6.9-1 |
4 |
0.27 |
Visualizer for neural network, deep learning and machine learning models |
ragouel
|
| waifu2x-git |
1:0.13.2.r171.g4313ace-1 |
11 |
0.20 |
Image rescaling and noise reduction using the power of convolutional neural networks |
orphan
|
| emergent |
8.2.0-1 |
1 |
0.14 |
emergent is a comprehensive neural network simulator that enables the creation and analysis of complex, sophisticated models of the brain in the world |
Konsole
|
| mxnet-mkl-cuda |
1.7.0-2 |
10 |
0.13 |
Flexible and Efficient Library for Deep Learning (with MKL and CUDA) |
petronny
|
| mxnet-mkl |
1.7.0-2 |
10 |
0.13 |
Flexible and Efficient Library for Deep Learning (with MKL) |
petronny
|
| mxnet-cuda |
1.7.0-2 |
10 |
0.13 |
Flexible and Efficient Library for Deep Learning (with CUDA) |
petronny
|
| mxnet |
1.7.0-2 |
10 |
0.13 |
Flexible and Efficient Library for Deep Learning |
petronny
|
| python-eagerpy-git |
0.29.0.r0.g2acb7f9-1 |
1 |
0.07 |
Toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, |
otaj
|
| fann |
2.2.0-5 |
49 |
0.06 |
Fast artificial neural network library |
dbermond
|
| nest |
2.20.1-1 |
3 |
0.04 |
Simulator for spiking neural network models |
adsun
|
| python-pytorch-mkl-git |
1.3.1.r22820.1350b99de4-1 |
3 |
0.02 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with MKL-DNN) |
orphan
|
| python-pytorch-mkl-cuda-git |
1.3.1.r22820.1350b99de4-1 |
3 |
0.02 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and MKL-DNN) |
orphan
|
| python-pytorch-git |
1.3.1.r22820.1350b99de4-1 |
3 |
0.02 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration |
orphan
|
| python-pytorch-cuda-git |
1.3.1.r22820.1350b99de4-1 |
3 |
0.02 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA) |
orphan
|
| python-onnx |
1.8.0-1 |
2 |
0.02 |
Open Neural Network Exchange |
hottea
|
| python-onnx-tensorflow |
1.6.0-1 |
1 |
0.02 |
Open Neural Network Exchange Tensorflow Backend |
HenryJia
|
| python-keras |
2.4.0-1 |
41 |
0.00 |
Deep Learning library (convnets, recurrent neural networks, and more) |
petronny
|
| xneur |
0.20.0-1 |
91 |
0.00 |
X Neural Switcher detects the language of input and corrects keyboard layout if needed |
cucullus
|
| kdeneur |
0.20.0-1 |
9 |
0.00 |
KDE frontend for X Neural Switcher (XNeur) |
Ashark
|
| xneur-devel-git |
0.21.0-30 |
2 |
0.00 |
X Neural Switcher detects the input language and corrects keyboard layout. Git version |
orphan
|
| torch7-nn-git |
r1484.b56f0c0-1 |
16 |
0.00 |
Neural networks package for Torch7 |
orphan
|
| torch7-cunn-git |
r819.1ae6aa0-5 |
5 |
0.00 |
CUDA backend for Torch7 Neural Network Package |
orphan
|
| python-foolbox-git |
3.1.1.r0.gef30f7f-1 |
1 |
0.00 |
Toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, |
otaj
|
| languagetool-word2vec-en |
20180211-1 |
2 |
0.00 |
Finding errors using neural network rules, english text |
Jaja
|
| languagetool-word2vec-de |
20180211-2 |
1 |
0.00 |
Finding errors using neural network rules, german text |
Jaja
|
| adaptativeneuralnetwork |
0.1.1.5-0 |
1 |
0.00 |
AdaptativeNeuralNetwork : A static library containing multiple neural network models written in C |
cedricfarinazzo
|
| languagetool-word2vec-pt |
20180211-2 |
1 |
0.00 |
Finding errors using neural network rules, portuguese text |
Jaja
|
| achilles |
2_8-6 |
5 |
0.00 |
An artificial life and evolution simulator that uses Hebbian neural networks and OpenGL/SDL to simulate life in a simplified environment. It is based on Larry Yaeger's PolyWorld idea |
meZee
|
| yolo-mark-git |
r64.ea049f3-1 |
0 |
0.00 |
GUI for marking bounded boxes of objects in images for training YOLO neural networks. |
acxz
|
| torch7-rnn-git |
r567.ccaf7af-1 |
0 |
0.00 |
Recurrent Neural Network library for Torch7's nn |
orphan
|
| tensorflow-git |
1.12.1+48078+gfe0dcca7437-1 |
2 |
0.00 |
Library for computation using data flow graphs for scalable machine learning (with CPU optimizations) |
swiftscythe
|
| tensorflow-cuda-git |
1.12.1+48078+gfe0dcca7437-1 |
2 |
0.00 |
Library for computation using data flow graphs for scalable machine learning (with CUDA) |
swiftscythe
|
| spinecreator-git |
0.9.6+git-1 |
0 |
0.00 |
A user interface for creating neural network simulations |
billypilgrim
|
| smartpedal |
1.2.0-1 |
0 |
0.00 |
Guitar plugin made with JUCE that uses neural network models to emulate real world hardware. |
artemklevtsov
|
| shogun |
6.1.4-1 |
6 |
0.00 |
A Large Scale Machine Learning Toolbox |
ChrisTX
|
| sentencepiece-git |
r492.ffa2c82-1 |
0 |
0.00 |
Unsupervised text tokenizer for Neural Network-based text generation |
panosk
|
| rnnoise-git |
r81.90ec41e-1 |
0 |
0.00 |
A noise suppression library based on a recurrent neural network. |
fisch02
|
| rnnlm |
0.4b-1 |
1 |
0.00 |
Recurrent neural network language model |
benob
|
| python2-theanets-git |
0.6.0pre.r1240.77b2e11-2 |
1 |
0.00 |
A library of neural networks in Theano for Python 2 |
jyantis
|
| python2-nolearn-git |
0.6adev.0.5.r99.gfbf6f40-2 |
1 |
0.00 |
Contains a number of wrappers around existing neural network libraries, along with a few machine learning utility modules. Most functionality is written to be compatible with the the excellent scikit-learn library. |
jyantis
|
| python2-keras-git |
1.2.0.r106.ge54d7951-1 |
1 |
0.00 |
Theano-based Deep Learning library (convnets, recurrent neural networks, and more) |
StreakyCobra
|
| python2-gdbn-git |
0.2dev.0.1.r1.g7b805fa-1 |
2 |
0.00 |
This package contains Python 2 code for pre-trained deep neural networks. RBM pre-training is supported and backpropagation. There are a handful of possible unit types. For training, minibatched stochastic gradient descent is implemented. |
jyantis
|