EComp: Evolutionary Compression of Neural Networks Using a Novel Similarity Objective
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Updated
Jan 10, 2022 - Jupyter Notebook
EComp: Evolutionary Compression of Neural Networks Using a Novel Similarity Objective
Your local Flux surgeon
Notes for doing really good software architecting.
Code for ''Understanding and Exploring the Network with Stochastic Architectures''
An up-to-date list of progress made in neural architecture search
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Generation with Asymmetric Variational Autoencoders
Architecture search using unsupervised learning with symmetric auto-encoders and QLearning in PyTorch
A design space exploration tool for deep neural architectures
Searching the best fit PVT model to COVIDx8A dataset by One-shot NAS.
Implementation of Autoslim using Tensorflow2
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Generation with GAN where the Discriminator network is fixed and same as that in the infoGAN paper (https://arxiv.org/abs/1606.03657)
Evolve Flux networks from scratch!
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Classification
Relentless mutation!!
A neural architecture optimizer, targeted at model-size w.r.t. accuracy
Distributed Network Architecture Search
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
A TensorFlow 2.0 implementation of MnasNet: Platform-Aware Neural Architecture Search for Mobile.
A general, modular, and programmable architecture search framework
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