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

GitHub Repository

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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

Python Tensorflow 2 scripts for detecting objects of any class in an image without knowing their label.

PyContinual (An Easy and Extendible Framework for Continual Learning)

Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.

A Deep Learning based project for creating line art portraits.

Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]

Fast convergence of detr with spatially modulated co-attention

The official codes of our CVPR2022 paper: A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift

Official Implementation of "Learning Disentangled Behavior Embeddings"

An example project demonstrating how the Autonomous Learning Library can be used to build new reinforcement learning agents.

This is an implementation of Googles Yogi-Optimizer in Keras (tf.keras)

Probabilistic Gradient Boosting Machines

Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent

Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and inference notebooks.

A general python framework for single object tracking in LiDAR point clouds, based on PyTorch Lightning.

Pointer-generator - Code for the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks

NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

CN24 is a complete semantic segmentation framework using fully convolutional networks

Architecture Patterns with Python (TDD, DDD, EDM)

Learning trajectory representations using self-supervision and programmatic supervision.

FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective