83 Open source projects that are alternatives of or similar to Robnets

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

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

real-time network architecture for mobile devices and semantic segmentation

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

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Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

The official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.

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

a distributed Hyperband implementation on Steroids

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

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Fast and flexible AutoML with learning guarantees.

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CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

AutoGluon: AutoML for Text, Image, and Tabular Data

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

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.

Automatic DNN compression tool with various model compression and neural architecture search techniques

Neural Architecture Search Powered by Swarm Intelligence 🐜

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Federated Learning Library: https://fedml.ai

Encodings for neural architecture search

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

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

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Learnable Embedding Space for Efficient Neural Architecture Compression

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Fast & Simple Resource-Constrained Learning of Deep Network Structure

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Differentiable architecture search for convolutional and recurrent networks

H. Zhang, Q. Yao, M. Yang, Y. Xu, X. Bai. AutoSTR: Efficient Backbone Search for Scene Text Recognition. European Conference on Computer Vision (ECCV). 2020.

Automated deep learning algorithms implemented in PyTorch.

Parallel random matrix tools and complexity for deep learning

PyTorch implementation of PNASNet-5 on ImageNet

A toolbox for receptive field analysis and visualizing neural network architectures

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

A research library for pytorch-based neural network pruning, compression, and more.

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

A PyTorch implementation of NASBench

Reproducible Rapid Research for Neural Architecture Search (NAS)

A curated list of awesome resources combining Transformers with Neural Architecture Search

PaddleSlim is an open-source library for deep model compression and architecture search.

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

AutoML library for deep learning

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models