Apprentissage automatique · GitHub

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4,743 projetsUpdated --

4729

model_analyzer

triton-inference-server

531étoiles

Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.

Detailed and summary reports: Model Analyzer is able to generate summarized and detailed reports that can help you better understand the trade-offs between different model configurations that can be used for your model.
QoS Constraints: Constraints can help you filter out the Model Analyzer results based on your QoS requirements. For example, you can specify a latency budget to filter out model configurations that do not satisfy the specified latency threshold.

Apprentissage automatiquePythonApache-2.0GitHub

4730

Anima-LoRA-Factory

UNfukashigi

87étoiles

Anima LoRA Factory is a user-friendly GUI tool designed for training LoRAs for the next-generation Anima diffusion models.

Apprentissage automatiqueApache-2.0GitHub

4731

PyTorch-Wavelet-Toolbox

v0lta

444étoiles

[JMLR] Differentiable fast wavelet transforms in PyTorch with GPU support.

Apprentissage automatiquePythonEUPL-1.2GitHub

4732

RadQy

viswanath-lab

126étoiles

RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (CT) data.

MRI and CT quality assessment
DICOM metadata/tag extraction

Apprentissage automatiqueJavaScriptGitHub

4733

Awesome-3D-Object-Detection

vvincenttttt

698étoiles

Papers, code and datasets about deep learning for 3D Object Detection.

Apprentissage automatique GitHub

4734

wildlife-datasets

WildlifeDatasets

217étoiles

WildlifeDatasets: An open-source toolkit for animal re-identification

Apprentissage automatiqueJupyter NotebookAGPL-3.0GitHub

4735

SMACT

WMD-group

148étoiles

Python package to aid materials design and informatics

At the core of SMACT are Element and Species (element in a given oxidation state) classes that have various properties associated with them.
Oxidation states that are accessible to each element are included in their properties.

Apprentissage automatiquePythonGitHub

4736

LaneDetection_End2End

wvangansbeke

665étoiles

End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)

Apprentissage automatiquePythonGitHub

4737

WS_DAN_PyTorch

wvinzh

174étoiles

PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)

Apprentissage automatiquePythonMITGitHub

4738

tick

X-DataInitiative

625étoiles

Module for statistical learning, with a particular emphasis on time-dependent modelling

Apprentissage automatiquePythonBSD-3-ClauseGitHub

4739

AI-PAL

YijianZhou

35étoiles

Self‐Supervised AI Phase Picking via Rule‐Based Algorithm for Generalized Earthquake Detection

Apprentissage automatiquePythonGitHub

4740

SuperGlue-pytorch

yingxin-jia

611étoiles

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

Apprentissage automatiquePythonGitHub

4741