|
aarch64-linux-gnu-armcl-neon
|
20.02.1-1 |
0 |
0.00
|
ARM Computer Vision and Machine Learning Library (arm64-v8a NEON Backend) |
orphan
|
2020-04-17 22:51 (UTC) |
|
aarch64-linux-gnu-armcl-opencl+neon
|
20.02.1-1 |
0 |
0.00
|
ARM Computer Vision and Machine Learning Library (arm64-v8a OpenCL + NEON Backends) |
orphan
|
2020-04-17 22:51 (UTC) |
|
aero2solver
|
1.0.0-2 |
0 |
0.00
|
Solve Aero2 captchas automatically using the magic of machine learning and computer vision |
nezu
|
2023-11-14 23:10 (UTC) |
|
apache-opennlp
|
2.1.1-1 |
5 |
0.00
|
A machine learning-based toolkit for the processing of natural language text |
GymliDanny
|
2023-04-24 17:05 (UTC) |
|
arm-linux-gnueabihf-armcl-neon
|
20.02.1-1 |
0 |
0.00
|
ARM Computer Vision and Machine Learning Library (armv7a NEON Backend) |
orphan
|
2020-04-17 22:51 (UTC) |
|
armcl-opencl
|
20.02.1-1 |
0 |
0.00
|
ARM Computer Vision and Machine Learning Library (x86_64 OpenCL Backend) |
orphan
|
2020-04-17 22:51 (UTC) |
|
armcl-opencl-debug
|
20.02.1-1 |
0 |
0.00
|
ARM Computer Vision and Machine Learning Library (x86_64 OpenCL Backend, debug build) |
orphan
|
2020-04-17 22:51 (UTC) |
|
astroml-examples-git
|
2017.05.03.g33b2006-1 |
2 |
0.00
|
AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, and matplotlib. This package includes the exmaples shipped with the github version of astroML |
orphan
|
2017-06-30 17:34 (UTC) |
|
cloudforest-git
|
r430.d014dc3-1 |
0 |
0.00
|
Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go |
orphan
|
2020-06-26 00:18 (UTC) |
|
grobid
|
0.7.0-1 |
0 |
0.00
|
A machine learning software for extracting information from scholarly documents |
orphan
|
2021-12-22 20:00 (UTC) |
|
h2o-ai-bin
|
3.40.0.4-1 |
0 |
0.00
|
Open source machine learning API |
badelf
|
2023-05-07 23:07 (UTC) |
|
libggml-git
|
r794.20240322.f5c9599-1 |
0 |
0.00
|
Tensor library for machine learning. Used by llama.cpp and whisper.cpp. |
dreieck
|
2024-03-27 09:31 (UTC) |
|
mallet
|
2.0.8-1 |
0 |
0.00
|
MAchine Learning for LanguagE Toolkit |
smgt
|
2018-05-03 13:17 (UTC) |
|
mass-up
|
1.0.14-1 |
0 |
0.00
|
An open-source mass spectrometry software for proteomics designed to support the preprocessing and Machine-Learning based analysis of MALDI-TOF mass spectrometry data |
orphan
|
2020-07-18 23:12 (UTC) |
|
mindspore-lite
|
1.0.1-1 |
1 |
0.00
|
Lightweright machine learning inference framework |
Nurmukhametov
|
2020-10-30 22:39 (UTC) |
|
mingw-w64-mlpack
|
3.3.0-1 |
0 |
0.00
|
a scalable c++ machine learning library (mingw-w64) |
orphan
|
2020-04-25 15:35 (UTC) |
|
netron-bin
|
7.6.1-1 |
6 |
0.00
|
Visualizer for neural network, deep learning and machine learning models |
zxp19821005
|
2024-04-22 00:58 (UTC) |
|
netron-cli
|
7.6.1-1 |
0 |
0.00
|
Visualizer for neural network, deep learning, and machine learning models (CLI only) |
yan12125
|
2024-04-20 05:53 (UTC) |
|
netron-git
|
7.5.8.r1.g66e6bc4c-1 |
0 |
0.00
|
Visualizer for neural network, deep learning and machine learning models |
zxp19821005
|
2024-04-06 06:24 (UTC) |
|
nni
|
3.0-1 |
0 |
0.00
|
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. |
petronny
|
2023-10-26 08:06 (UTC) |
|
octave-nan
|
3.7.0-1 |
3 |
0.00
|
A statistics and machine learning toolbox for data with and w/o missing values |
pingplug
|
2022-11-08 01:35 (UTC) |
|
onnx
|
1.15.0-1 |
0 |
0.00
|
C++ library for the open standard for machine learning interoperability |
lenerd
|
2023-11-07 23:14 (UTC) |
|
onnx-git
|
1.14.1.0.g1014f41f1-1 |
0 |
0.00
|
C++ library for the open standard for machine learning interoperability |
cnf3rd
|
2023-10-19 12:05 (UTC) |
|
opennlp-bin
|
1.9.3-1 |
2 |
0.00
|
Machine learning-based toolkit for processing natural language text (bin) |
orphan
|
2020-08-09 22:23 (UTC) |
|
python-apricot-select
|
0.6.1-1 |
0 |
0.00
|
A package for submodular selection of representative sets for machine learning models |
carlosal1015
|
2023-05-28 21:29 (UTC) |
|
python-astroml
|
1.0.2.post1-1 |
1 |
0.00
|
Machine learning, statistics, and data mining for astronomy and astrophysics |
orphan
|
2023-11-18 20:39 (UTC) |
|
python-augmentor
|
0.2.12-2 |
1 |
0.00
|
Image augmentation library in Python for machine learning |
hottea
|
2023-03-30 12:20 (UTC) |
|
python-chatterbot
|
1.0.8-3 |
0 |
0.00
|
A machine learning, conversational dialog engine for creating chatbots. |
mistersmee
|
2024-01-23 16:08 (UTC) |
|
python-climin-git
|
1:r544.2215b1a-6 |
1 |
0.00
|
Optimizers for machine learning |
oysstu
|
2023-12-22 11:53 (UTC) |
|
python-combo-git
|
0.1.0.r9.g6b569d7-2 |
0 |
0.00
|
Python toolbox for combining machine learning (ML) models and scores. |
pirofti
|
2021-02-10 21:48 (UTC) |
|
python-deepxde
|
1.11.0-1 |
0 |
0.00
|
A library for scientific machine learning |
carlosal1015
|
2024-02-19 14:33 (UTC) |
|
python-dirty_cat-git
|
0.0.5.r203.g3c55029-1 |
0 |
0.00
|
machine-learning on dirty categorical variables |
pirofti
|
2021-02-14 21:09 (UTC) |
|
python-dowel
|
0.0.4-1 |
0 |
0.00
|
A logger for machine learning research |
elanglois
|
2021-08-13 22:21 (UTC) |
|
python-giotto-tda
|
0.4.0-0 |
0 |
0.00
|
A high performance topological machine learning toolbox in Python |
orphan
|
2021-01-21 11:18 (UTC) |
|
python-gradio-frontend
|
3.41.0-1 |
0 |
0.00
|
Create UIs for your machine learning model in Python in 3 minutes |
orphan
|
2023-09-09 07:24 (UTC) |
|
python-hep_ml
|
0.7.2-1 |
0 |
0.00
|
Specific machine learning tools for purposes of high energy physics |
kgizdov
|
2024-01-03 13:34 (UTC) |
|
python-imgaug
|
0.4.0-1 |
0 |
0.00
|
Image augmentation for machine learning experiments |
orphan
|
2020-03-24 07:54 (UTC) |
|
python-imgaug-git
|
0.4.0.r41.g0101108d-1 |
0 |
0.00
|
Image augmentation for machine learning experiments |
orphan
|
2021-09-10 05:36 (UTC) |
|
python-labml-dashboard
|
0.4.87-2 |
0 |
0.00
|
Dashboard for Lab: Organize Machine Learning Experiments |
adrien1018
|
2022-02-14 06:22 (UTC) |
|
python-lime
|
0.2.0.1-2 |
0 |
0.00
|
Lime: Explaining the predictions of any machine learning classifier |
mboquien
|
2021-12-13 08:46 (UTC) |
|
python-mglearn
|
0.2.1-1 |
1 |
0.00
|
Helper functions for the book "Introduction to Machine Learning with Python" |
bakseter
|
2023-07-07 14:13 (UTC) |
|
python-ml-datasets
|
0.2.0-1 |
0 |
0.00
|
Machine learning dataset loaders for testing and example scripts |
crendel
|
2023-01-22 18:34 (UTC) |
|
python-mleap
|
0.23.1-1 |
0 |
0.00
|
Common serialization format and execution engine for machine learning pipelines (Python API) |
acxz
|
2023-12-17 15:26 (UTC) |
|
python-mlflow
|
2.9.2-1 |
1 |
0.00
|
An open source platform for the machine learning lifecycle |
acxz
|
2023-12-27 14:26 (UTC) |
|
python-niaaml
|
1.2.0-1 |
2 |
0.00
|
Python automated machine learning framework |
carlosal1015
|
2024-04-10 02:11 (UTC) |
|
python-numerapi
|
2.3.4-2 |
0 |
0.00
|
Python API and command line interface for the numer.ai machine learning competition |
sebimarkgraf
|
2020-09-23 07:17 (UTC) |
|
python-paddlepaddle
|
2.2.2-1 |
0 |
0.00
|
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice |
orphan
|
2022-01-21 04:41 (UTC) |
|
python-paddlepaddle-cuda
|
2.2.2-1 |
0 |
0.00
|
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (with CUDA) |
orphan
|
2022-01-21 04:41 (UTC) |
|
python-paddlepaddle-git
|
2.2.1.r33234.8da9eff4e49-2 |
0 |
0.00
|
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice |
orphan
|
2021-12-24 03:49 (UTC) |
|
python-paddlepaddle-cuda-git
|
2.2.1.r33234.8da9eff4e49-2 |
0 |
0.00
|
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (with CUDA) |
orphan
|
2021-12-24 03:49 (UTC) |