GitHub topics: double-descent
MinghuiChen43/awesome-deep-phenomena
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
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RylanSchaeffer/Stanford-AI-Alignment-Double-Descent-Tutorial
Code for Arxiv Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
Language: Python - Size: 250 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 3
antonior92/narx-double-descent
Explore the double-descent phenomena in the context of system identification. Companion code to the paper (https://arxiv.org/abs/2012.06341):
Language: Python - Size: 1.58 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 0
tensor-fusion/Double-Descent-Deep-Nets
Double descent experiments/repros on classical ML models and deep neural nets
Language: Jupyter Notebook - Size: 39.3 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
VGCQ/SDD_ViT
[ICIAP23] Sparse Double Descent in Vision Transformers: real or phantom threat?
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csinva/mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
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josch14/double-descent
Double Descent results for FCNNs on MNIST, extended by Label Noise (Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off).
Language: Python - Size: 1.81 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
fpgdubost/CIFAR-10-optimization
Toy dataset to study double descent optimization patterns in machine learning.
Language: Python - Size: 1.29 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
sidak/double-descent
ICLR 2022: Phenomenology of Double Descent in Finite-width Neural Networks
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akashsonowal/interpolating-neural-networks
Interpolating Neural Networks in Asset Pricing Data. Supports Distributed Training in TensorFlow.
Language: Python - Size: 7.6 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
nplotko/double-descent-lr
This project outlines 4 experiments to explore the effects of several settings on the bias-variance tradeoff curve
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VictorZXY/dnn-assignments
Assignments of my Part II Deep Neural Networks unit
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ZhangXiao96/OptimizationVariance
This repository is the official implementation of "Optimization Variance: Delve into the Epoch-Wise Double Descent of DNNs"
Language: Python - Size: 39.1 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
