python-wandb
|
0.16.6-1 |
2 |
0.00
|
A tool for visualizing and tracking your machine learning experiments |
daskol
|
2024-05-07 09:05 (UTC) |
python-trl
|
0.8.4-1 |
0 |
0.00
|
Train transformer language models with reinforcement learning |
daskol
|
2024-05-07 08:38 (UTC) |
dash-player-git
|
4.0.0.r2.g7864d2e-1 |
0 |
0.00
|
A video player designed specifically for English learning.一款专为英语学习打造的视频播放器 |
zxp19821005
|
2024-05-07 01:47 (UTC) |
rdkit
|
2024_03_2-1 |
8 |
1.00
|
RDKit - A collection of cheminformatics and machine-learning software written in C++ and Python. |
hseara
|
2024-05-06 18:54 (UTC) |
netron-git
|
7.6.4.r5.g83f4234-1 |
0 |
0.00
|
Visualizer for neural network, deep learning and machine learning models |
zxp19821005
|
2024-05-06 07:07 (UTC) |
netron-bin
|
7.6.4-1 |
6 |
0.00
|
Visualizer for neural network, deep learning and machine learning models |
zxp19821005
|
2024-05-06 07:05 (UTC) |
python-deepxde
|
1.11.1-1 |
0 |
0.00
|
Library for scientific machine learning |
carlosal1015
|
2024-05-05 16:39 (UTC) |
python-imgaug
|
0.4.0-2 |
0 |
0.00
|
Image augmentation for machine learning experiments |
AlexBocken
|
2024-05-05 07:10 (UTC) |
openvino-git
|
2024.1.0.r264.gc6c94bdca19-1 |
0 |
0.00
|
A toolkit for developing artificial inteligence and deep learning applications (git version) |
dbermond
|
2024-05-04 15:56 (UTC) |
openvino
|
2024.1.0-3 |
10 |
1.15
|
A toolkit for developing artificial inteligence and deep learning applications |
dbermond
|
2024-05-04 15:56 (UTC) |
netron
|
7.6.4-1 |
2 |
0.00
|
Visualizer for neural network, deep learning, and machine learning models |
petronny
|
2024-05-04 08:00 (UTC) |
netron-cli
|
7.6.4-1 |
0 |
0.00
|
Visualizer for neural network, deep learning, and machine learning models (CLI only) |
yan12125
|
2024-05-04 05:30 (UTC) |
python-gradio-client
|
0.16.1-1 |
1 |
0.57
|
Python library for easily interacting with trained machine learning models |
huyz
|
2024-05-03 19:41 (UTC) |
python-evaluate
|
0.4.2-1 |
1 |
0.00
|
HuggigFace library for easily evaluating machine learning models and datasets |
daskol
|
2024-05-03 19:04 (UTC) |
python-phiflow
|
2.5.3-1 |
0 |
0.00
|
Differentiable PDE solving framework for machine learning |
carlosal1015
|
2024-05-03 18:42 (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-bnlearn
|
4.9.4-1 |
0 |
0.00
|
Bayesian Network Structure Learning, Parameter Learning and Inference |
BioArchLinuxBot
|
2024-05-03 06:37 (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-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-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-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-mlseq
|
2.22.0-1 |
0 |
0.00
|
Machine Learning Interface for RNA-Seq Data |
BioArchLinuxBot
|
2024-05-02 22:06 (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-biocsklearn
|
1.26.0-1 |
0 |
0.00
|
interface to python sklearn via Rstudio reticulate |
BioArchLinuxBot
|
2024-05-02 19:55 (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-mlbench
|
2.1.5-1 |
0 |
0.00
|
Machine Learning Benchmark Problems |
pekkarr
|
2024-05-02 18:07 (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-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-biocpkgtools
|
1.22.0-1 |
0 |
0.00
|
Collection of simple tools for learning about Bioc Packages |
BioArchLinuxBot
|
2024-05-01 23:19 (UTC) |
jcryptool
|
1.0.9-1 |
18 |
0.00
|
e-learning application for applying and analysing cryptographic algorithms |
nomisge
|
2024-05-01 22:16 (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-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-ledpred
|
1.38.0-1 |
0 |
0.00
|
Learning from DNA to Predict Enhancers |
BioArchLinuxBot
|
2024-05-01 20:28 (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) |
python-sktime
|
0.29.0-1 |
1 |
0.04
|
A unified framework for machine learning with time series |
AlexBocken
|
2024-05-01 13:17 (UTC) |
tensorrt
|
10.0.1.6-1 |
15 |
0.13
|
A platform for high-performance deep learning inference on NVIDIA hardware |
dbermond
|
2024-04-30 19:32 (UTC) |
python-tensorrt
|
10.0.1.6-1 |
15 |
0.13
|
A platform for high-performance deep learning inference on NVIDIA hardware (python bindings and tools) |
dbermond
|
2024-04-30 19:32 (UTC) |
python-nvidia-dali
|
1.37.0-1 |
0 |
0.00
|
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications |
hottea
|
2024-04-29 22:19 (UTC) |
python-imblearn
|
0.12.2-2 |
1 |
0.00
|
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning |
lucaswerkmeister
|
2024-04-29 00:25 (UTC) |
python-tslearn
|
0.6.3-3 |
1 |
0.09
|
A machine learning toolkit dedicated to time-series data |
AlexBocken
|
2024-04-28 09:59 (UTC) |
python-scikit-base
|
0.7.7-2 |
1 |
0.04
|
Base classes for sklearn-like parametric objects |
AlexBocken
|
2024-04-28 09:57 (UTC) |
python-imbalanced-learn
|
0.12.2-2 |
2 |
0.04
|
Toolbox for imbalanced dataset in machine learning |
AlexBocken
|
2024-04-28 09:53 (UTC) |
python-hmmlearn
|
0.3.2-1 |
1 |
0.00
|
Hidden Markov Models in Python with scikit-learn like API |
loathingkernel
|
2024-04-28 08:07 (UTC) |
python-einops
|
0.8.0-1 |
2 |
0.96
|
Deep learning operations reinvented (for pytorch, tensorflow, jax and others) |
hottea
|
2024-04-28 04:28 (UTC) |
heptabase-bin
|
1.32.0-1 |
0 |
0.00
|
A visual note-taking tool for learning complex topics. |
zcyaya
|
2024-04-28 04:11 (UTC) |
python-chatterbot
|
1.0.8-4 |
0 |
0.00
|
A machine learning, conversational dialog engine for creating chatbots. |
mistersmee
|
2024-04-27 18:56 (UTC) |
python-lime
|
0.2.0.1-3 |
0 |
0.00
|
Lime: Explaining the predictions of any machine learning classifier |
mboquien
|
2024-04-27 13:50 (UTC) |
python-shap
|
0.45.0-1 |
2 |
0.00
|
Game theoretic approach to explain the output of any machine learning model |
mboquien
|
2024-04-27 13:30 (UTC) |
python-sklearn-onnx
|
1.16.0-2 |
0 |
0.00
|
Convert scikit-learn models and pipelines to ONNX |
hottea
|
2024-04-27 13:17 (UTC) |
python-decord
|
0.6.0-7 |
0 |
0.00
|
An efficient video loader for deep learning with smart shuffling that's super easy to digest |
hottea
|
2024-04-27 11:26 (UTC) |