python-wandb-git
|
0.15.6.dev1-1 |
1 |
0.00
|
Weights and Biases - organize and analyze machine learning experiments |
lumaku
|
2023-07-23 18:28 (UTC) |
python-webdataset
|
0.2.86-1 |
0 |
0.00
|
Record sequential storage for deep learning. |
alhirzel
|
2023-12-27 18:45 (UTC) |
python-yellowbrick
|
1.5-1 |
0 |
0.00
|
A suite of visual analysis and diagnostic tools for machine learning |
hexd
|
2023-07-15 20:59 (UTC) |
python2-timbl-git
|
41-3 |
1 |
0.00
|
Python binding for Timbl, a k-Nearest Neighbours machine learning suite |
MarsSeed
|
2015-06-21 10:53 (UTC) |
qwerty-learner-pake
|
2.5.1-1 |
0 |
0.00
|
Use Pake to package Qwerty-Learner.为键盘工作者设计的单词记忆与英语肌肉记忆锻炼软件/Words learning and English muscle memory training software designed for keyboard workers |
zxp19821005
|
2024-05-13 03:56 (UTC) |
r-bdgraph
|
2.72-1 |
0 |
0.00
|
Bayesian Structure Learning in Graphical Models using Birth-Death MCMC |
BioArchLinuxBot
|
2023-01-27 03:01 (UTC) |
r-biocpkgtools
|
1.22.0-1 |
0 |
0.00
|
Collection of simple tools for learning about Bioc Packages |
BioArchLinuxBot
|
2024-05-01 23:19 (UTC) |
r-biocsklearn
|
1.26.0-1 |
0 |
0.00
|
interface to python sklearn via Rstudio reticulate |
BioArchLinuxBot
|
2024-05-02 19:55 (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-biotmle
|
1.28.0-1 |
0 |
0.00
|
Targeted Learning with Moderated Statistics for Biomarker Discovery |
BioArchLinuxBot
|
2024-05-02 19:36 (UTC) |
r-bnlearn
|
4.9.4-1 |
0 |
0.00
|
Bayesian Network Structure Learning, Parameter Learning and Inference |
BioArchLinuxBot
|
2024-05-03 06:37 (UTC) |
r-bnstruct
|
1.0.15-1 |
0 |
0.00
|
Bayesian Network Structure Learning from Data with Missing Values |
BioArchLinuxBot
|
2024-01-10 06:05 (UTC) |
r-ddrtree
|
0.1.5-9 |
0 |
0.00
|
Learning Principal Graphs with DDRTree |
BioArchLinuxBot
|
2024-04-25 04:25 (UTC) |
r-deeppincs
|
1.12.0-1 |
0 |
0.00
|
Protein Interactions and Networks with Compounds based on Sequences using Deep Learning |
BioArchLinuxBot
|
2024-05-01 23:59 (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-dml
|
1.1.0-4 |
0 |
0.00
|
Distance Metric Learning in R |
BioArchLinuxBot
|
2022-06-06 00:20 (UTC) |
r-dmwr
|
0.4.1-4 |
0 |
0.00
|
Data Mining with R, learning with case studies |
BioArchLinuxBot
|
2022-06-06 00:23 (UTC) |
r-islr
|
1.4-4 |
0 |
0.00
|
Data for an Introduction to Statistical Learning with Applications in R |
pekkarr
|
2024-04-24 21:11 (UTC) |
r-jackstraw
|
1.3.9-1 |
0 |
0.00
|
Statistical Inference for Unsupervised Learning |
BioArchLinuxBot
|
2024-02-07 18:06 (UTC) |
r-jasplearnbayes
|
0.18.3-1 |
0 |
0.00
|
Learn Bayes Module for JASP |
BioArchLinuxBot
|
2024-01-12 12:15 (UTC) |
r-jaspmachinelearning
|
0.18.3-1 |
0 |
0.00
|
Machine Learning Module for JASP |
BioArchLinuxBot
|
2024-01-12 12:11 (UTC) |
r-kernlab
|
0.9.32-5 |
0 |
0.00
|
Kernel-Based Machine Learning Lab |
pekkarr
|
2024-04-24 18:37 (UTC) |
r-learnr
|
0.11.5-3 |
0 |
0.00
|
Interactive Tutorials for R |
BioArchLinuxBot
|
2023-10-27 04:15 (UTC) |
r-ledpred
|
1.38.0-1 |
0 |
0.00
|
Learning from DNA to Predict Enhancers |
BioArchLinuxBot
|
2024-05-01 20:28 (UTC) |
r-lsr
|
0.5.2-7 |
0 |
0.00
|
Companion to "Learning Statistics with R" |
BioArchLinuxBot
|
2024-02-29 18:09 (UTC) |
r-mlapi
|
0.1.1-4 |
0 |
0.00
|
Abstract Classes for Building 'scikit-learn' Like API |
BioArchLinuxBot
|
2024-04-10 12:05 (UTC) |
r-mlbench
|
2.1.5-1 |
0 |
0.00
|
Machine Learning Benchmark Problems |
pekkarr
|
2024-05-02 18:07 (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) |
r-mlmetrics
|
1.1.3-1 |
0 |
0.00
|
Machine Learning Evaluation Metrics |
BioArchLinuxBot
|
2024-04-14 00:01 (UTC) |
r-mlr
|
2.19.2-1 |
0 |
0.00
|
Machine Learning in R |
BioArchLinuxBot
|
2024-06-12 12:02 (UTC) |
r-mlr3
|
0.19.0-1 |
0 |
0.00
|
Machine Learning in R - Next Generation |
BioArchLinuxBot
|
2024-04-25 06:32 (UTC) |
r-mlr3learners
|
0.6.0-1 |
0 |
0.00
|
Recommended Learners for 'mlr3' |
BioArchLinuxBot
|
2024-03-13 12:05 (UTC) |
r-mlseq
|
2.22.0-1 |
0 |
0.00
|
Machine Learning Interface for RNA-Seq Data |
BioArchLinuxBot
|
2024-05-02 22:06 (UTC) |
r-mltools
|
0.3.5-7 |
0 |
0.00
|
Machine Learning Tools |
BioArchLinuxBot
|
2024-04-07 12:07 (UTC) |
r-netactivity
|
1.6.0-1 |
0 |
0.00
|
Compute gene set scores from a deep learning framework |
pekkarr
|
2024-05-02 22:49 (UTC) |
r-omada
|
1.6.0-1 |
0 |
0.00
|
Machine learning tools for automated transcriptome clustering analysis |
pekkarr
|
2024-05-02 12:55 (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
|
1.14.0-1 |
0 |
0.00
|
preciseTAD: A machine learning framework for precise TAD boundary prediction |
BioArchLinuxBot
|
2024-05-03 04:25 (UTC) |
r-rcppml
|
0.3.7-1 |
0 |
0.00
|
Rcpp Machine Learning Library |
BioArchLinuxBot
|
2022-06-06 12:05 (UTC) |
r-rcsl
|
1.12.0-1 |
0 |
0.00
|
Rank Constrained Similarity Learning for single cell RNA sequencing data |
BioArchLinuxBot
|
2024-05-02 22:03 (UTC) |
r-rnamodr.ml
|
1.18.0-1 |
0 |
0.00
|
Detecting patterns of post-transcriptional modifications using machine learning |
BioArchLinuxBot
|
2024-05-03 06:33 (UTC) |
r-rsparse
|
0.5.1-1 |
0 |
0.00
|
Statistical Learning on Sparse Matrices |
BioArchLinuxBot
|
2022-09-12 00:01 (UTC) |
r-scannotatr
|
1.10.0-1 |
0 |
0.00
|
Pretrained learning models for cell type prediction on single cell RNA-sequencing data |
BioArchLinuxBot
|
2024-05-02 23:57 (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
|
1.30.0-1 |
0 |
0.00
|
Single-cell Interpretation via Multi-kernel LeaRning (SIMLR) |
BioArchLinuxBot
|
2024-05-01 19:06 (UTC) |
r-sparsenetgls
|
1.22.0-1 |
0 |
0.00
|
Using Gaussian graphical structue learning estimation in generalized least squared regression for multivariate normal regression |
BioArchLinuxBot
|
2024-05-01 21:52 (UTC) |
r-superlearner
|
2.0.29-1 |
0 |
0.00
|
Super Learner Prediction |
BioArchLinuxBot
|
2024-02-20 18:10 (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) |
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) |