209 Open source projects that are alternatives of or similar to Morph Net

Awesome Neural Architecture Search Papers

a distributed Hyperband implementation on Steroids

TensorFlow implementation of PNASNet-5 on ImageNet

Differentiable architecture search for convolutional and recurrent networks

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

This repo is about NAS

AutoGluon: AutoML for Text, Image, and Tabular Data

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

Automated deep learning algorithms implemented in PyTorch.

AutoML frAmework for Neural Networks

"NAS evaluation is frustratingly hard", ICLR2020

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

Fast and flexible AutoML with learning guarantees.

PyTorch implementation of PNASNet-5 on ImageNet

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

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

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

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

Genetic neural architecture search with Keras

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

AutoML library for deep learning

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

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

Encodings for 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.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

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

An autoML framework & toolkit for machine learning on graphs.

ZazuML - easy AutoML for Object Detection

Sequential Model-based Algorithm Configuration

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

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

Machine learning for Ruby

real-time network architecture for mobile devices and semantic segmentation

NAS-Bench-201 API and Instruction

TODS: An Automated Time-series Outlier Detection System

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Efficient Learning of Augmentation Policy Schedules

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

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

An open source python library for automated feature engineering

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

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

Reproducible Rapid Research for Neural Architecture Search (NAS)

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

Neural Architecture Search Powered by Swarm Intelligence 🐜

Merlion: A Machine Learning Framework for Time Series Intelligence

Federated Learning Library: https://fedml.ai

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

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