608 Open source projects that are alternatives of or similar to Darts

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

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

AutoGluon: AutoML for Text, Image, and Tabular Data

AutoML frAmework for Neural Networks

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

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

Efficient Learning of Augmentation Policy Schedules

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

a distributed Hyperband implementation on Steroids

AutoML library for deep learning

PyTorch implementation of PNASNet-5 on ImageNet

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

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

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

Fast and flexible AutoML with learning guarantees.

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Fast & Simple Resource-Constrained Learning of Deep Network Structure

A specially designed light version of Fast AutoAugment

"NAS evaluation is frustratingly hard", ICLR2020

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

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

Official Implementation of 'Fast AutoAugment' in PyTorch.

Automated deep learning algorithms implemented in PyTorch.

Awesome Neural Architecture Search Papers

Object classification with CIFAR-10 using transfer learning

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.

Genetic neural architecture search with Keras

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

TensorFlow implementation of PNASNet-5 on ImageNet

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

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

Introduction to deep learning with Tensorflow.

This repo is about NAS

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

Bridging the gap Between Stability and Scalability in Neural Architecture Search

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

Encodings for neural architecture search

Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

TODS: An Automated Time-series Outlier Detection System

Automatic detection of defected solar panel modules

# This is a image classification by VGG16 pre-trained model.#

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

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

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

2nd place solution to Kaggle's Cdiscount image classification challange.

real-time network architecture for mobile devices and semantic segmentation

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

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

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

A full pipeline AutoML tool for tabular data

Keras implementation of a ResNet-CAM model

Automated modeling and machine learning framework FEDOT

detect stages in video automatically

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

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

Machine Learning (EE 5184) in NTU

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream