r-mlmetrics
|
1.1.3-1 |
0 |
0.00
|
Machine Learning Evaluation Metrics |
BioArchLinuxBot
|
2024-04-14 00:01 (UTC) |
r-mlr
|
2.19.1-3 |
0 |
0.00
|
Machine Learning in R |
BioArchLinuxBot
|
2022-11-26 14:47 (UTC) |
r-mlr3
|
0.19.0-1 |
0 |
0.00
|
Machine Learning in R - Next Generation |
BioArchLinuxBot
|
2024-04-25 06:32 (UTC) |
r-mlseq
|
2.20.0-1 |
0 |
0.00
|
Machine Learning Interface for RNA-Seq Data |
BioArchLinuxBot
|
2023-10-28 14:26 (UTC) |
r-mltools
|
0.3.5-7 |
0 |
0.00
|
Machine Learning Tools |
BioArchLinuxBot
|
2024-04-07 12:07 (UTC) |
r-paramhelpers
|
1.14.1-4 |
0 |
0.00
|
Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning |
BioArchLinuxBot
|
2022-11-26 12:51 (UTC) |
r-precisetad
|
1.12.0-1 |
0 |
0.00
|
preciseTAD: A machine learning framework for precise TAD boundary prediction |
BioArchLinuxBot
|
2023-10-28 14:30 (UTC) |
r-rcppml
|
0.3.7-1 |
0 |
0.00
|
Rcpp Machine Learning Library |
BioArchLinuxBot
|
2022-06-06 12:05 (UTC) |
r-rcsl
|
1.10.1-1 |
0 |
0.00
|
Rank Constrained Similarity Learning for single cell RNA sequencing data |
BioArchLinuxBot
|
2024-04-06 12:01 (UTC) |
r-rnamodr.ml
|
1.16.0-1 |
0 |
0.00
|
Detecting patterns of post-transcriptional modifications using machine learning |
BioArchLinuxBot
|
2023-11-02 12:17 (UTC) |
r-rsparse
|
0.5.1-1 |
0 |
0.00
|
Statistical Learning on Sparse Matrices |
BioArchLinuxBot
|
2022-09-12 00:01 (UTC) |
r-scannotatr
|
1.8.0-1 |
0 |
0.00
|
Pretrained learning models for cell type prediction on single cell RNA-sequencing data |
BioArchLinuxBot
|
2023-10-31 18:49 (UTC) |
r-scclassifr
|
1.2.0-3 |
0 |
0.00
|
Pretrained learning models for cell type prediction on single cell RNA-sequencing data |
BioArchLinuxBot
|
2022-06-07 13:21 (UTC) |
r-simlr
|
1.28.0-1 |
0 |
0.00
|
Single-cell Interpretation via Multi-kernel LeaRning (SIMLR) |
BioArchLinuxBot
|
2023-10-25 19:59 (UTC) |
r-sparsenetgls
|
1.20.0-1 |
0 |
0.00
|
Using Gaussian graphical structue learning estimation in generalized least squared regression for multivariate normal regression |
BioArchLinuxBot
|
2023-10-26 00:04 (UTC) |
r-teachingdemos
|
2.13-2 |
0 |
0.00
|
Demonstrations for Teaching and Learning |
BioArchLinuxBot
|
2024-02-19 18:08 (UTC) |
r-trena
|
1.24.0-1 |
0 |
0.00
|
Fit transcriptional regulatory networks using gene expression, priors, machine learning |
BioArchLinuxBot
|
2024-04-13 18:18 (UTC) |
python-magika
|
0.5.1-1 |
3 |
0.82
|
Detect file content types with deep learning |
bjin
|
2024-03-24 06:39 (UTC) |
mlpack
|
4.3.0-1 |
11 |
0.00
|
A fast, flexible, scalable C++ machine learning library |
carlosal1015
|
2023-12-03 01:24 (UTC) |
paddlepaddle-bin
|
2.6.1-1 |
1 |
0.00
|
Parallel Distributed Deep Learning |
carlosal1015
|
2024-03-20 22:33 (UTC) |
python-adaptive
|
1.2.0-1 |
0 |
0.00
|
Parallel active learning of mathematical functions |
carlosal1015
|
2024-04-10 17:43 (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-deepxde
|
1.11.0-1 |
0 |
0.00
|
A library for scientific machine learning |
carlosal1015
|
2024-02-19 14:33 (UTC) |
python-niaaml
|
2.0.0-1 |
2 |
0.00
|
Python automated machine learning framework |
carlosal1015
|
2024-04-24 14:43 (UTC) |
python-phiflow
|
2.5.3-1 |
0 |
0.00
|
Differentiable PDE solving framework for machine learning |
carlosal1015
|
2023-12-23 20:16 (UTC) |
python-phiml
|
1.5.1-1 |
0 |
0.00
|
Unified API for machine learning |
carlosal1015
|
2024-04-15 15:02 (UTC) |
visualdl
|
2.5.0-1 |
1 |
0.00
|
Deep Learning Visualization Toolkit |
carlosal1015
|
2023-01-18 13:47 (UTC) |
onednn-git
|
3.1_rc.r510.gde4b31752-1 |
0 |
0.00
|
An open-source performance library for deep learning applications |
Chocobo1
|
2023-04-10 14:59 (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) |
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) |
pseint-bin
|
20230517-1 |
13 |
0.24
|
A tool for learning programming basis with a simple spanish pseudocode |
Cristophero
|
2023-10-06 02:07 (UTC) |
pseint
|
20230517-1 |
10 |
0.24
|
A tool for learning programming basis with a simple spanish pseudocode. |
dakataca
|
2023-10-06 02:08 (UTC) |
netica
|
6.07-1 |
1 |
0.00
|
Probabilistic graphical model software for editing, learning from data, and computation with Bayesian networks |
DanielBoerlage
|
2020-11-27 01:07 (UTC) |
python-tianshou
|
0.4.11-1 |
1 |
0.00
|
An elegant PyTorch deep reinforcement learning library. |
dariost
|
2023-01-27 17:58 (UTC) |
python-evaluate
|
0.4.1-1 |
1 |
0.00
|
HuggigFace library for easily evaluating machine learning models and datasets |
daskol
|
2023-10-14 20:11 (UTC) |
python-trl
|
0.7.10-1 |
0 |
0.00
|
Train transformer language models with reinforcement learning |
daskol
|
2024-02-03 13:31 (UTC) |
python-wandb
|
0.16.5-1 |
2 |
0.00
|
A tool for visualizing and tracking your machine learning experiments |
daskol
|
2024-04-18 11:10 (UTC) |
caffe
|
1.0-18 |
18 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (cpu only) |
dbermond
|
2022-03-01 14:24 (UTC) |
caffe-cuda
|
1.0-12 |
2 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (with cuda support) |
dbermond
|
2022-03-01 14:46 (UTC) |
caffe-cuda-doc
|
1.0-12 |
2 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (with cuda support, documentation) |
dbermond
|
2022-03-01 14:46 (UTC) |
caffe-cuda-doc-git
|
1.0.r136.g9b8915401-3 |
0 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (with cuda support, documentation, git version) |
dbermond
|
2022-03-01 14:46 (UTC) |
caffe-cuda-git
|
1.0.r136.g9b8915401-3 |
0 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (with cuda support, git version) |
dbermond
|
2022-03-01 14:46 (UTC) |
caffe-doc
|
1.0-18 |
18 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (cpu only, documentation) |
dbermond
|
2022-03-01 14:24 (UTC) |
caffe-doc-git
|
1.0.r136.g9b8915401-1 |
23 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (cpu only, documentation, git version) |
dbermond
|
2022-03-01 14:46 (UTC) |
caffe-git
|
1.0.r136.g9b8915401-1 |
23 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (cpu only, git version) |
dbermond
|
2022-03-01 14:46 (UTC) |
openvino
|
2024.1.0-1 |
10 |
1.53
|
A toolkit for developing artificial inteligence and deep learning applications |
dbermond
|
2024-04-25 22:35 (UTC) |
openvino-git
|
2023.3.0.r875.g17bf1f6d841-1 |
0 |
0.00
|
A toolkit for developing artificial inteligence and deep learning applications (git version) |
dbermond
|
2024-03-02 20:50 (UTC) |
python-tensorrt
|
10.0.0.6-1 |
15 |
0.17
|
A platform for high-performance deep learning inference on NVIDIA hardware (python bindings and tools) |
dbermond
|
2024-04-04 18:40 (UTC) |
tensorrt
|
10.0.0.6-1 |
15 |
0.17
|
A platform for high-performance deep learning inference on NVIDIA hardware |
dbermond
|
2024-04-04 18:40 (UTC) |
tiny-dnn
|
1.0.0a3-4 |
2 |
0.00
|
A C++11 implementation of deep learning for limited computational resource, embedded systems and IoT devices |
dbermond
|
2018-12-29 18:02 (UTC) |