|
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) |
|
antconc
|
4.2.0-1 |
3 |
0.00
|
A freeware corpus analysis toolkit for arrying out corpus linguistics research and data-driven learning. |
orphan
|
2023-02-21 06:16 (UTC) |
|
arcade-learning-environment
|
0.6.1-3 |
0 |
0.00
|
The Arcade Learning Environment (ALE) is a simple object-oriented framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games |
orphan
|
2020-05-19 14:56 (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) |
|
caffe-cmake-git
|
1.0.r134.g04ab089db-1 |
0 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind. Uses cmake to build giving great flexibility. |
orphan
|
2023-06-17 13:11 (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) |
|
eis-bin
|
1.0.1-4 |
0 |
0.00
|
Eis is a simple to use command line interface which allows you to use Christian R.'s elearning platform. This package is a forked version of eis which includes some fixes |
orphan
|
2022-01-18 11:12 (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) |
|
jvlt
|
1.3.3-2 |
8 |
0.01
|
A vocabulary learning tool with quizzes using flash cards similar to the Leitner system |
orphan
|
2016-09-28 20:35 (UTC) |
|
ludwig-example
|
1.0-1 |
1 |
0.00
|
Example for training deep learning models with Ludwig |
orphan
|
2019-03-18 15:16 (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) |
|
mxnet
|
1.7.0-2 |
12 |
0.00
|
Flexible and Efficient Library for Deep Learning |
orphan
|
2020-12-12 11:17 (UTC) |
|
mxnet-cuda
|
1.7.0-2 |
12 |
0.00
|
Flexible and Efficient Library for Deep Learning (with CUDA) |
orphan
|
2020-12-12 11:17 (UTC) |
|
mxnet-cuda-git
|
2.0.0.r11770.7d84b59845-1 |
0 |
0.00
|
A flexible and efficient library for deep learning (with CUDA) |
orphan
|
2022-01-19 06:02 (UTC) |
|
mxnet-git
|
2.0.0.r11770.7d84b59845-1 |
0 |
0.00
|
A flexible and efficient library for deep learning |
orphan
|
2022-01-19 06:02 (UTC) |
|
mxnet-mkl
|
1.7.0-2 |
12 |
0.00
|
Flexible and Efficient Library for Deep Learning (with MKL) |
orphan
|
2020-12-12 11:17 (UTC) |
|
mxnet-mkl-cuda
|
1.7.0-2 |
12 |
0.00
|
Flexible and Efficient Library for Deep Learning (with MKL and CUDA) |
orphan
|
2020-12-12 11:17 (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-deepspeed
|
0.12.4-1 |
0 |
0.00
|
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. |
orphan
|
2023-12-05 13:25 (UTC) |
|
python-dm-control
|
1.0.13-1 |
0 |
0.00
|
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. |
orphan
|
2023-06-26 08:12 (UTC) |
|
python-dm-env
|
1.5-1 |
0 |
0.00
|
A Python interface for reinforcement learning environments |
orphan
|
2022-07-18 15:34 (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-gluoncv
|
0.10.0-1 |
1 |
0.00
|
A Deep Learning Toolkit for Computer Vision |
orphan
|
2021-03-09 09:31 (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
|
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-jittor
|
1.3.4.1-2 |
0 |
0.00
|
Just-in-time deep learning framework |
orphan
|
2022-05-12 01:56 (UTC) |
|
python-keras-git
|
2.9.0rc0.r372.g83852348f-1 |
1 |
0.00
|
A Python deep learning API, running on TensorFlow (git version) |
orphan
|
2022-06-19 01:04 (UTC) |
|
python-ludwig
|
0.4-1 |
3 |
0.00
|
Data-centric declarative deep learning framework |
orphan
|
2022-01-14 18:44 (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-stable-baselines
|
2.10.1-1 |
0 |
0.00
|
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms |
orphan
|
2021-02-28 18:06 (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-tensorly
|
0.7.0-3 |
2 |
0.18
|
Simple and Fast Tensor Learning in Python |
orphan
|
2022-03-06 12:52 (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) |
|
r-swirl
|
2.4.4-1 |
1 |
0.00
|
Platform for learning (and teaching) statistics and R simultaneously and interactively |
orphan
|
2019-07-17 13:38 (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-cpprb
|
v9.4.5-1 |
0 |
0.00
|
ReplayBuffer for Reinforcement Learning written by C++ and Cython |
7Z0nE
|
2021-02-08 09:15 (UTC) |