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,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,Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Organization: syne-tune
Home Page: https://syne-tune.readthedocs.io
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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.