|
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) |
|
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) |
|
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) |
|
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) |
|
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-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-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-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-orange
|
3.35.0-1 |
19 |
0.00
|
Open source machine learning and data visualization |
orphan
|
2023-06-28 19:20 (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-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) |
|
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-tensorflow-cuda-git
|
1.12.1+54837+g03796cf1dda-1 |
2 |
0.00
|
Library for computation using data flow graphs for scalable machine learning (with CUDA) |
orphan
|
2021-04-14 00:37 (UTC) |
|
python-tensorflow-git
|
1.12.1+54837+g03796cf1dda-1 |
2 |
0.00
|
Library for computation using data flow graphs for scalable machine learning |
orphan
|
2021-04-14 00:37 (UTC) |
|
python-thinc-git
|
8.1.6.r2.g17fbcf43-1 |
1 |
0.00
|
Practical Machine Learning for NLP |
orphan
|
2023-01-03 04:14 (UTC) |
|
tensorflow-cuda-git
|
1.12.1+54837+g03796cf1dda-1 |
2 |
0.00
|
Library for computation using data flow graphs for scalable machine learning (with CUDA) |
orphan
|
2021-04-14 00:37 (UTC) |
|
tensorflow-git
|
1.12.1+54837+g03796cf1dda-1 |
2 |
0.00
|
Library for computation using data flow graphs for scalable machine learning (with CPU optimizations) |
orphan
|
2021-04-14 00:37 (UTC) |
|
whereami
|
0.4.85-2 |
2 |
0.00
|
Uses WiFi signals and machine learning to predict where you are |
orphan
|
2019-03-10 22:09 (UTC) |
|
python-test-tube
|
0.7.5-1 |
0 |
0.00
|
Machine learning / data science experiments logger and visualizer for pytorch. |
7Z0nE
|
2021-01-02 12:38 (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-tensorflow-opt-rocm
|
2.15.0-8 |
11 |
0.01
|
Library for computation using data flow graphs for scalable machine learning (with ROCM and AVX CPU optimizations) |
acxz
|
2023-12-27 21:32 (UTC) |
|
python-tensorflow-rocm
|
2.15.0-8 |
11 |
0.01
|
Library for computation using data flow graphs for scalable machine learning (with ROCM) |
acxz
|
2023-12-27 21:32 (UTC) |
|
tensorflow-opt-rocm
|
2.15.0-8 |
11 |
0.01
|
Library for computation using data flow graphs for scalable machine learning (with ROCM and AVX CPU optimizations) |
acxz
|
2023-12-27 21:32 (UTC) |
|
tensorflow-rocm
|
2.15.0-8 |
11 |
0.01
|
Library for computation using data flow graphs for scalable machine learning (with ROCM) |
acxz
|
2023-12-27 21:32 (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-scikit-learn-git
|
0.19.branching.r8706.2164bb16b9-1 |
0 |
0.00
|
A set of Python modules for machine learning and data mining |
alex.henrie
|
2023-12-24 05:56 (UTC) |
|
python-imbalanced-learn
|
0.12.2-2 |
2 |
0.02
|
Toolbox for imbalanced dataset in machine learning |
AlexBocken
|
2024-04-28 09:53 (UTC) |
|
python-imgaug
|
0.4.0-2 |
0 |
0.00
|
Image augmentation for machine learning experiments |
AlexBocken
|
2024-05-05 07:10 (UTC) |
|
python-sktime
|
0.29.0-1 |
1 |
0.03
|
A unified framework for machine learning with time series |
AlexBocken
|
2024-05-01 13:17 (UTC) |
|
python-tslearn
|
0.6.3-3 |
1 |
0.06
|
A machine learning toolkit dedicated to time-series data |
AlexBocken
|
2024-04-28 09:59 (UTC) |
|
python-torchmetrics
|
1.3.2-1 |
2 |
0.65
|
Machine learning metrics for distributed, scalable PyTorch applications |
alhirzel
|
2024-03-31 02:56 (UTC) |
|
python-plaidml
|
0.7.0-1 |
4 |
0.00
|
PlaidML machine learning accelerator |
aviallon
|
2020-04-12 17:32 (UTC) |
|
video2x
|
4.8.1-1 |
9 |
0.87
|
Machine learning video/GIF/image upscaling |
aviallon
|
2021-01-08 16:15 (UTC) |
|
h2o-ai-bin
|
3.40.0.4-1 |
0 |
0.00
|
Open source machine learning API |
badelf
|
2023-05-07 23:07 (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) |
|
replicate-cog-bin
|
1:1.0.0-1 |
0 |
0.00
|
Containers for machine learning |
beautyyuyanli
|
2024-01-10 14:17 (UTC) |
|
rdkit-inchi
|
2023_03_1-1 |
0 |
0.00
|
A collection of cheminformatics and machine-learning software written in C++ and Python. This version includes InChI support. |
benjymack
|
2023-05-05 22:25 (UTC) |
|
r-biomm
|
1.15.0-2 |
0 |
0.00
|
Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data |
BioArchLinuxBot
|
2024-02-11 18:11 (UTC) |
|
r-dirichletmultinomial
|
1.46.0-1 |
0 |
0.00
|
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data |
BioArchLinuxBot
|
2024-05-01 22:01 (UTC) |
|
r-jaspmachinelearning
|
0.18.3-1 |
0 |
0.00
|
Machine Learning Module for JASP |
BioArchLinuxBot
|
2024-01-12 12:11 (UTC) |
|
r-mlinterfaces
|
1.84.0-1 |
0 |
0.00
|
Uniform interfaces to R machine learning procedures for data in Bioconductor containers |
BioArchLinuxBot
|
2024-05-03 12:57 (UTC) |