SemiNAS: Semi-Supervised Neural Architecture Search

Last update: Aug 31, 2022

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Overview

SemiNAS: Semi-Supervised Neural Architecture Search

This repository contains the code used for Semi-Supervised Neural Architecture Search, by Renqian Luo, Xu Tan, Rui Wang, Tao Qin, En-Hong Chen, Tie-Yan Liu.

Environments and Requirements

The code is built and tested on Pytorch 1.2

NASBench-101 Experiments

Please refer to nasbench/README.md

ImageNet Experiments

Please refer to imagenet/README.md

Owner

Renqian Luo

Researcher @ Microsoft Research Asia

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SemiNAS: Semi-Supervised Neural Architecture Search

Related tags

Overview

SemiNAS: Semi-Supervised Neural Architecture Search

Environments and Requirements

NASBench-101 Experiments

ImageNet Experiments

Owner

Renqian Luo

BRepNet: A topological message passing system for solid models

Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021

This repository provides an efficient PyTorch-based library for training deep models.

This repository contains the code and models necessary to replicate the results of paper: How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Recommendation algorithms for large graphs

Simultaneous NMT/MMT framework in PyTorch

Talk covering the features of skorch

My solution for the 7th place / 245 in the Umoja Hack 2022 challenge

Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"

Code for PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing

A Python script that creates subtitles of a given length from text paragraphs that can be easily imported into any Video Editing software such as FinalCut Pro for further adjustments.

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