jovitalukasik

AG-Net

Code for "Learning Where To Look – Generative NAS is Surprisingly Efficient"

filter_freq_reg

GNN_predictor

Neural Architecture Performance PredictionUsing Graph Neural Networks

jovitalukasik.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

model-vs-human

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

NASBench-PyTorch

A PyTorch implementation of NASBench

SVGe

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search

vs_gae

zcp_eval

Code for "An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness"

jovitalukasik/AG-Net

Code for "Learning Where To Look – Generative NAS is Surprisingly Efficient"

jovitalukasik/SVGe

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

jovitalukasik/vs_gae

jovitalukasik/GNN_predictor

Neural Architecture Performance PredictionUsing Graph Neural Networks

jovitalukasik/zcp_eval

Code for "An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness"

jovitalukasik/filter_freq_reg

jovitalukasik/jovitalukasik.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

jovitalukasik/model-vs-human

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

jovitalukasik/NASBench-PyTorch

A PyTorch implementation of NASBench

jovitalukasik/Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search