Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: generalisation
BlueBrain/emodel-generalisation
Generalisation of electrical models of neurons with MCMC
Language: Python - Size: 17.3 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 3 - Forks: 2
martinferianc/noise
Investigation of how noise perturbations impact neural network calibration and generalisation
Language: Shell - Size: 20.4 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0
mendrika261/S2-GenericDAO
This is a simple DAO for Java with some more features. I used it for my school project.
Language: Java - Size: 21.5 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0
sciencenerd880/regression_polynomial
Supervised Learning - Regression Algorithm
Language: Jupyter Notebook - Size: 493 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0
eurostat/JGiscoTools
Manipulation of geographical and statistical data in Java, with a focus on Eurostat data
Language: Java - Size: 166 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 20 - Forks: 1
TebogoYungMercykay/Mathematical_Expressions_Calculator
Polynomials are mathematical objects which are expressions of variables and coefficients added to-gether. These polynomials can use operator overloading in a very intuitive manner since most of the operators that we can overload are mathematical operators, which can also be applied to polynomials.
Language: C++ - Size: 535 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0
klemenjak/nilm-transferability-metrics
Metrics to assess the generalisation ability of NILM algorithms
Size: 5.86 KB - Last synced: 4 months ago - Pushed: over 4 years ago - Stars: 4 - Forks: 2
ltronchin/LatentAugment
LatentAugment, is a new data augmentation method for training any deep models. It navigates GAN's latent space to increase the diversity and quality of generated samples and enhance their effectiveness for DA purposes.
Language: Python - Size: 8.42 MB - Last synced: 4 months ago - Pushed: 10 months ago - Stars: 2 - Forks: 1
rgeirhos/generalisation-humans-DNNs
Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)
Language: R - Size: 41.1 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 94 - Forks: 21
deviousasti/fsharp-worksheet
A spreadsheet-like interactive evaluator for F#
Language: F# - Size: 158 KB - Last synced: 3 months ago - Pushed: over 2 years ago - Stars: 50 - Forks: 0
OhGreat/ES_adversarial_attacks_library
Framework for benchmarking black-box adversarial attacks, modeled with ES.
Language: Python - Size: 6.86 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
mmrl/lost-in-latent-space
Code from the article: "Lost in Latent Space: Examining Failures of Disentangled Models at Combinatorial Generalisaton" (NeurIPS, 2022)
Language: Python - Size: 87.9 KB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0
viig99/LS-ACELoss 📦
Label smoothed Aggregation cross entropy loss for generalisation in sequence to sequence tasks.
Language: Python - Size: 3.91 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 13 - Forks: 3
mmrl/disent-and-gen
Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
Language: Jupyter Notebook - Size: 815 KB - Last synced: 12 months ago - Pushed: about 2 years ago - Stars: 22 - Forks: 0
rgeirhos/shortcut-perspective
Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
Language: Python - Size: 22.1 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 78 - Forks: 12
RobertCsordas/ndr
The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
Language: Python - Size: 129 KB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 24 - Forks: 4
XinshaoAmosWang/DerivativeManipulation
In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them?
Language: Shell - Size: 48.3 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 9 - Forks: 1
maptopixel/LstSqPolyReg
Regularize polygons to rectilinear shape using constrained least squares in Java
Language: Java - Size: 2.41 MB - Last synced: about 1 year ago - Pushed: almost 11 years ago - Stars: 9 - Forks: 3
sarah37/dotmaps
Web-based dot map generalisation
Language: JavaScript - Size: 2.28 MB - Last synced: over 1 year ago - Pushed: almost 7 years ago - Stars: 1 - Forks: 0
