999 Open source projects that are alternatives of or similar to Mtlnas

Naszilla is a Python library for neural architecture search (NAS)

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Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

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TensorFlow implementation of PNASNet-5 on ImageNet

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Semantic segmentation on iPhone using ESPNetv2

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real-time network architecture for mobile devices and semantic segmentation

Differentiable architecture search for convolutional and recurrent networks

BCDU-Net : Medical Image Segmentation

a distributed Hyperband implementation on Steroids

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A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

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Awesome Neural Architecture Search Papers

Official Implementation of 'Fast AutoAugment' in PyTorch.

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

This repo is about NAS

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

PyTorch implementation of PNASNet-5 on ImageNet

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Efficient Learning of Augmentation Policy Schedules

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

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A curated list of resources focused on Machine Learning in Geospatial Data Science.

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

AutoGluon: AutoML for Text, Image, and Tabular Data

Automated deep learning algorithms implemented in PyTorch.

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[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

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AutoML frAmework for Neural Networks

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

PSPNet in Chainer

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Encodings for neural architecture search

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A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

A specially designed light version of Fast AutoAugment

Fast and flexible AutoML with learning guarantees.

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Fast & Simple Resource-Constrained Learning of Deep Network Structure

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GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

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🤘 awesome-semantic-segmentation

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

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