slime-forest-demo
|
build189-1 |
0 |
0.00
|
Adventure game to fight slimes, save a princess, and learn Japanese |
hexd
|
2019-02-04 23:52 (UTC) |
shark-ml-atlas-git
|
r2995-1 |
1 |
0.00
|
Shark C++ machine learning library |
Ulfgard
|
2015-10-23 10:08 (UTC) |
scoredate
|
3.2-2 |
0 |
0.00
|
Software to learn music reading and ear training |
jose1711
|
2019-07-14 18:21 (UTC) |
safetynets-git
|
d193964-1 |
0 |
0.00
|
A framework to outsource machine-learning inference computation |
sangy
|
2018-10-24 02:26 (UTC) |
replicate-cog-bin
|
1:1.0.0-1 |
0 |
0.00
|
Containers for machine learning |
beautyyuyanli
|
2024-01-10 14:17 (UTC) |
remnote
|
1.13.8-1 |
4 |
0.08
|
All-in-one workspace for note-taking, learning, organizing thoughts and growing knowledge |
AronYoung
|
2023-12-31 07:13 (UTC) |
reciteword
|
0.8.6-7 |
0 |
0.00
|
Reciteword is an educational software that helps Chinese natives learn English, especially in vocabulary enrichment. It claims to embrace la interfaz gráfica de usuario bonita. It also claims that learners are to enjoy English learning with reciteword. |
TJM
|
2021-09-20 10:01 (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) |
rdkit
|
2024_03_3-1 |
8 |
0.37
|
RDKit - A collection of cheminformatics and machine-learning software written in C++ and Python. |
hseara
|
2024-06-05 04:24 (UTC) |
rasa
|
3.6.0-1 |
0 |
0.00
|
Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants |
skeilnet
|
2023-06-15 17:46 (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) |
r-teachingdemos
|
2.13-2 |
0 |
0.00
|
Demonstrations for Teaching and Learning |
BioArchLinuxBot
|
2024-02-19 18:08 (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-superlearner
|
2.0.29-1 |
0 |
0.00
|
Super Learner Prediction |
BioArchLinuxBot
|
2024-02-20 18:10 (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-simlr
|
1.30.0-1 |
0 |
0.00
|
Single-cell Interpretation via Multi-kernel LeaRning (SIMLR) |
BioArchLinuxBot
|
2024-05-01 19:06 (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-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-rtexttools
|
1.4.3-2 |
1 |
0.00
|
Automatic Text Classification via Supervised Learning |
AlexBocken
|
2023-08-03 08:38 (UTC) |
r-rsparse
|
0.5.1-1 |
0 |
0.00
|
Statistical Learning on Sparse Matrices |
BioArchLinuxBot
|
2022-09-12 00:01 (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-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-rcppml
|
0.3.7-1 |
0 |
0.00
|
Rcpp Machine Learning Library |
BioArchLinuxBot
|
2022-06-06 12:05 (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-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-omada
|
1.6.0-1 |
0 |
0.00
|
Machine learning tools for automated transcriptome clustering analysis |
pekkarr
|
2024-05-02 12:55 (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-mltools
|
0.3.5-7 |
0 |
0.00
|
Machine Learning Tools |
BioArchLinuxBot
|
2024-04-07 12:07 (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-mlr3learners
|
0.6.0-1 |
0 |
0.00
|
Recommended Learners for 'mlr3' |
BioArchLinuxBot
|
2024-03-13 12:05 (UTC) |
r-mlr3
|
0.19.0-1 |
0 |
0.00
|
Machine Learning in R - Next Generation |
BioArchLinuxBot
|
2024-04-25 06:32 (UTC) |
r-mlr
|
2.19.2-1 |
0 |
0.00
|
Machine Learning in R |
BioArchLinuxBot
|
2024-06-12 12:02 (UTC) |
r-mlmetrics
|
1.1.3-1 |
0 |
0.00
|
Machine Learning Evaluation Metrics |
BioArchLinuxBot
|
2024-04-14 00:01 (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-mlbench
|
2.1.5-1 |
0 |
0.00
|
Machine Learning Benchmark Problems |
pekkarr
|
2024-05-02 18:07 (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-lsr
|
0.5.2-7 |
0 |
0.00
|
Companion to "Learning Statistics with R" |
BioArchLinuxBot
|
2024-02-29 18:09 (UTC) |
r-ledpred
|
1.38.0-1 |
0 |
0.00
|
Learning from DNA to Predict Enhancers |
BioArchLinuxBot
|
2024-05-01 20:28 (UTC) |
r-learnr
|
0.11.5-3 |
0 |
0.00
|
Interactive Tutorials for R |
BioArchLinuxBot
|
2023-10-27 04:15 (UTC) |
r-kernlab
|
0.9.32-5 |
0 |
0.00
|
Kernel-Based Machine Learning Lab |
pekkarr
|
2024-04-24 18:37 (UTC) |
r-jaspmachinelearning
|
0.18.3-1 |
0 |
0.00
|
Machine Learning Module for JASP |
BioArchLinuxBot
|
2024-01-12 12:11 (UTC) |
r-jasplearnbayes
|
0.18.3-1 |
0 |
0.00
|
Learn Bayes Module for JASP |
BioArchLinuxBot
|
2024-01-12 12:15 (UTC) |
r-jackstraw
|
1.3.9-1 |
0 |
0.00
|
Statistical Inference for Unsupervised Learning |
BioArchLinuxBot
|
2024-02-07 18:06 (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-dmwr
|
0.4.1-4 |
0 |
0.00
|
Data Mining with R, learning with case studies |
BioArchLinuxBot
|
2022-06-06 00:23 (UTC) |
r-dml
|
1.1.0-4 |
0 |
0.00
|
Distance Metric Learning in R |
BioArchLinuxBot
|
2022-06-06 00:20 (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-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-ddrtree
|
0.1.5-9 |
0 |
0.00
|
Learning Principal Graphs with DDRTree |
BioArchLinuxBot
|
2024-04-25 04:25 (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) |