python-spikingjelly-git
|
r1782.55d05d5-1 |
0 |
0.00
|
Deep learning framework for Spiking Neural Network (SNN) based on PyTorch. |
piernov
|
2022-10-26 15:39 (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-stable-baselines3
|
2.1.0-1 |
0 |
0.00
|
A set of reliable implementations of reinforcement learning algorithms in PyTorch |
benallard
|
2023-10-08 08:53 (UTC) |
python-syft
|
0.2.4-10 |
0 |
0.00
|
A Library for Private, Secure Deep Learning |
sfmajors373
|
2020-03-22 22:37 (UTC) |
python-syft-git
|
r5672.5998f68e-1 |
0 |
0.00
|
A library for encrypted, privacy preserving machine learning |
ModYokosuka
|
2020-03-23 00:04 (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-tf-encrypted
|
0.6.0rc0-1 |
0 |
0.00
|
A Framework for Machine Learning on Encrypted Data. |
sfmajors373
|
2020-01-27 00:07 (UTC) |
python-tflearn-git
|
0.2.2.r144.gb33bee3-1 |
0 |
0.00
|
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. |
MarsSeed
|
2016-12-04 04:30 (UTC) |
python-torch-points3d
|
1.3.0-1 |
0 |
0.00
|
Point Cloud Deep Learning Extension Library for PyTorch |
mathmhb
|
2022-11-06 14:31 (UTC) |
python-torchio
|
0.19.6-1 |
0 |
0.00
|
Tools for medical image processing in deep learning and PyTorch |
hottea
|
2024-02-20 05:22 (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-tslearn-git
|
r1625.efa0091-1 |
0 |
0.00
|
A machine learning toolkit dedicated to time-series data. Version from the latest commit. |
getzze
|
2023-10-23 13:18 (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) |
qwerty-learner-pake
|
2.3.5-2 |
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
|
2024-02-27 05:44 (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
|
1.20.0-1 |
0 |
0.00
|
Collection of simple tools for learning about Bioc Packages |
BioArchLinuxBot
|
2023-10-26 01:48 (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
|
1.26.0-1 |
0 |
0.00
|
Targeted Learning with Moderated Statistics for Biomarker Discovery |
BioArchLinuxBot
|
2023-10-27 06:15 (UTC) |
r-bnlearn
|
4.9.3-1 |
0 |
0.00
|
Bayesian Network Structure Learning, Parameter Learning and Inference |
BioArchLinuxBot
|
2024-03-15 18:01 (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-ccdralgorithm
|
0.0.6-4 |
0 |
0.00
|
CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks |
BioArchLinuxBot
|
2022-08-16 15:34 (UTC) |
r-ddrtree
|
0.1.5-7 |
0 |
0.00
|
Learning Principal Graphs with DDRTree |
BioArchLinuxBot
|
2023-07-30 18:02 (UTC) |
r-deeppincs
|
1.10.0-1 |
0 |
0.00
|
Protein Interactions and Networks with Compounds based on Sequences using Deep Learning |
BioArchLinuxBot
|
2023-10-26 01:25 (UTC) |
r-dirichletmultinomial
|
1.44.0-1 |
0 |
0.00
|
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data |
BioArchLinuxBot
|
2023-10-26 00:30 (UTC) |
r-discretecdalgorithm
|
0.0.7-4 |
0 |
0.00
|
Coordinate-Descent Algorithm for Learning Sparse Discrete Bayesian Networks |
BioArchLinuxBot
|
2022-06-06 00:15 (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
|
1.4-2 |
0 |
0.00
|
Data for an Introduction to Statistical Learning with Applications in R |
pekkarr
|
2023-09-18 18:02 (UTC) |
r-jackstraw
|
1.3.9-1 |
0 |
0.00
|
Statistical Inference for Unsupervised Learning |
BioArchLinuxBot
|
2024-02-07 18:06 (UTC) |
r-jaspmachinelearning
|
0.18.3-1 |
0 |
0.00
|
Machine Learning Module for JASP |
BioArchLinuxBot
|
2024-01-12 12:11 (UTC) |
r-kernlab
|
0.9.32-4 |
0 |
0.00
|
Kernel-Based Machine Learning Lab |
pekkarr
|
2024-03-17 13:14 (UTC) |
r-ledpred
|
1.36.0-1 |
0 |
0.00
|
Learning from DNA to Predict Enhancers |
BioArchLinuxBot
|
2023-10-25 20:53 (UTC) |
r-lsr
|
0.5.2-7 |
0 |
0.00
|
Companion to "Learning Statistics with R" |
BioArchLinuxBot
|
2024-02-29 18:09 (UTC) |
r-mlbench
|
2.1.3.1-2 |
0 |
0.00
|
Machine Learning Benchmark Problems |
pekkarr
|
2024-03-17 13:15 (UTC) |
r-mlinterfaces
|
1.82.0-1 |
0 |
0.00
|
Uniform interfaces to R machine learning procedures for data in Bioconductor containers |
BioArchLinuxBot
|
2023-10-28 12:44 (UTC) |
r-mlmetrics
|
1.1.1-4 |
0 |
0.00
|
Machine Learning Evaluation Metrics |
BioArchLinuxBot
|
2022-06-06 07:58 (UTC) |
r-mlr
|
2.19.1-3 |
0 |
0.00
|
Machine Learning in R |
BioArchLinuxBot
|
2022-11-26 14:47 (UTC) |
r-mlr3
|
0.18.0-1 |
0 |
0.00
|
Machine Learning in R - Next Generation |
BioArchLinuxBot
|
2024-03-05 18:04 (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
|
0.3.5-4 |
0 |
0.00
|
Machine Learning Tools |
BioArchLinuxBot
|
2022-06-06 08:01 (UTC) |
r-netactivity
|
1.4.0-1 |
0 |
0.00
|
Compute gene set scores from a deep learning framework |
pekkarr
|
2023-12-01 11:35 (UTC) |
r-omada
|
1.4.0-1 |
0 |
0.00
|
Machine learning tools for automated transcriptome clustering analysis |
pekkarr
|
2023-12-02 22:17 (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
|
1.8.0-2 |
0 |
0.00
|
Rank Constrained Similarity Learning for single cell RNA sequencing data |
BioArchLinuxBot
|
2024-02-13 18:08 (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) |