Topic: neural-architecture-search Goto Github
Some thing interesting about neural-architecture-search
Some thing interesting about neural-architecture-search
neural-architecture-search,[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction
Organization: alibaba-nlp
neural-architecture-search,Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
User: alison-carrera
neural-architecture-search,A curated list of awesome resources combining Transformers with Neural Architecture Search
Organization: automl
neural-architecture-search,a distributed Hyperband implementation on Steroids
Organization: automl
neural-architecture-search,Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Organization: awslabs
Home Page: https://syne-tune.readthedocs.io
neural-architecture-search,PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
User: carpedm20
neural-architecture-search,(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
User: changlin31
neural-architecture-search,FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
User: chaoyanghe
neural-architecture-search,PyTorch implementation of PNASNet-5 on ImageNet
User: chenxi116
neural-architecture-search,Automated deep learning algorithms implemented in PyTorch.
User: d-x-y
neural-architecture-search,Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
User: d-x-y
neural-architecture-search,A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Organization: datacanvasio
Home Page: https://hypernets.readthedocs.io/
neural-architecture-search,A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Organization: datacanvasio
Home Page: https://hyperts.readthedocs.io
neural-architecture-search,DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Organization: deephyper
Home Page: https://deephyper.readthedocs.io
neural-architecture-search,This is a list of interesting papers and projects about TinyML.
User: gigwegbe
Home Page: http://everythingml.com/
neural-architecture-search,Fast & Simple Resource-Constrained Learning of Deep Network Structure
Organization: google-research
neural-architecture-search,This directory contains code necessary to run the GraphNAS algorithm.
User: graphnas
neural-architecture-search,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.
User: guan-yuan
neural-architecture-search,A curated list of automated machine learning papers, articles, tutorials, slides and projects
User: hibayesian
neural-architecture-search,NSGA-Net, a Neural Architecture Search Algorithm
User: ianwhale
neural-architecture-search,Awesome Neural Architecture Search Papers
User: jackguagua
neural-architecture-search,Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
User: jiahuiyu
neural-architecture-search,Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
User: jiaminren
neural-architecture-search,Genetic neural architecture search with Keras
User: joeddav
neural-architecture-search,AutoML library for deep learning
Organization: keras-team
Home Page: http://autokeras.com/
neural-architecture-search,Automated Machine Learning on Kubernetes
Organization: kubeflow
Home Page: https://www.kubeflow.org/docs/components/katib
neural-architecture-search,Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Organization: leopard-ai
Home Page: https://leopard-ai.github.io/betty/
neural-architecture-search,A curated list of awesome architecture search resources
User: markdtw
neural-architecture-search,[ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
User: meijieru
neural-architecture-search,Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Organization: microsoft
Home Page: https://microsoft.github.io/archai
neural-architecture-search,A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Organization: microsoft
neural-architecture-search,An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Organization: microsoft
Home Page: https://nni.readthedocs.io
neural-architecture-search,[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Organization: mit-han-lab
Home Page: https://mcunet.mit.edu
neural-architecture-search,[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
Organization: mit-han-lab
Home Page: https://mcunet.mit.edu
neural-architecture-search,Naszilla is a Python library for neural architecture search (NAS)
Organization: naszilla
neural-architecture-search,Neural Architecture Search Powered by Swarm Intelligence 🐜
User: pattio
neural-architecture-search,Differentiable architecture search for convolutional and recurrent networks
User: quark0
Home Page: https://arxiv.org/abs/1806.09055
neural-architecture-search,A lightweight and easy-to-use deep learning framework with neural architecture search.
User: rootharold
neural-architecture-search,Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
User: seungwonpark
neural-architecture-search,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
User: simonblanke
Home Page: https://simonblanke.github.io/hyperactive-documentation
neural-architecture-search,Fast and flexible AutoML with learning guarantees.
Organization: tensorflow
Home Page: https://adanet.readthedocs.io
neural-architecture-search,An autoML framework & toolkit for machine learning on graphs.
Organization: thumnlab
Home Page: http://mn.cs.tsinghua.edu.cn/AutoGL/
neural-architecture-search,Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
User: titu1994
neural-architecture-search,[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
Organization: vita-group
neural-architecture-search,[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
Organization: vita-group
Home Page: https://arxiv.org/abs/2005.03215
neural-architecture-search,[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Organization: vita-group
neural-architecture-search,[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
Organization: vita-group
neural-architecture-search,aw_nas: A Modularized and Extensible NAS Framework
User: walkerning
neural-architecture-search,real-time network architecture for mobile devices and semantic segmentation
User: wpf535236337
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