A testbed for backbones in DG. Repository for "Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization" (Angarano et al., 2022).
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Updated
Jul 18, 2024 - Python
Backbone.js supplies structure to JavaScript-heavy applications by providing models with key-value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing application over a RESTful JSON interface. Backbone.js was originally extracted from the Rails application DocumentCloud. Philosophically, Backbone is an attempt to discover the minimal set of data-structuring (models and collections) and user interface (views and URLs) primitives that are generally useful when building web applications with JavaScript. Backbone is a library, not a framework. Synchronous events are used as the fundamental building block over constantly polling data. The main pars of Backbone are:
A testbed for backbones in DG. Repository for "Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization" (Angarano et al., 2022).
This repository contains the main methods for the wash trading analysis on the nft's market.
benchmark pytorch models
Test task for SMYT (see README for more details)
This is a warehouse for FasterNet-Pytorch-model, can be used to train your image-datasets for classification tasks.
Extracting the multiscale backbone of complex weighted networks (Serrano et al. 2009)
MobileOne - An Improved One millisecond Mobile Backbone. Unofficial Pytorch implementation for edge export - ONNX, OpenVINO.
Collection of efficient transformers.
Prevention of accidents in school zones using deep learning
a pytorch implementation of some models, include many attention mechanism, convolution layer and backbone etc.
⭐⭐⭐ Pytorch implementation of Attentiom, Backbone, ViT, MLP, Re-parameter, Convolution, very flexible module combination.
Created by Jeremy Ashkenas
Released October 13, 2010