300 Open source projects that are alternatives of or similar to HyperKeras

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

AutoML library for deep learning

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

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

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

Open Toolkit for Painless Object Detection

TensorFlow implementation of PNASNet-5 on ImageNet

Genetic neural architecture search with Keras

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

a distributed Hyperband implementation on Steroids

Fast & Simple Resource-Constrained Learning of Deep Network Structure

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

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

AutoGluon: AutoML for Text, Image, and Tabular Data

Fast and flexible AutoML with learning guarantees.

Encodings for neural architecture search

This repo is about NAS

"NAS evaluation is frustratingly hard", ICLR2020

PyTorch implementation of PNASNet-5 on ImageNet

Differentiable architecture search for convolutional and recurrent networks

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

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.

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

AutoML frAmework for Neural Networks

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

Automated deep learning algorithms implemented in PyTorch.

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

Awesome Neural Architecture Search Papers

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Deep-Learning based CTR models implemented by PyTorch

OpenCV based DNN Object Detection Library for Openframeworks

Python automated machine learning framework.

machine learning algorithm

MONeT framework for reducing memory consumption of DNN training

DNN FAQ is a basic module used for displaying frequently asked questions on your DNN site.

Open standard for machine learning interoperability

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

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

One solution. Multiple extensions. No pain. A collection of DNN modules and other extensions.

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

An Open Source Deep Learning Inference Engine Based on FPGA

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

DNN + 2sxc = #DNNCMS - This tool helps web designers and developers prepare great looking content in DNN (DotNetNuke). It's like mixing DNN with Umbraco and Drupal :)

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

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

A PyTorch implementation of NASBench

自己实现的深度学习训练框架，纯java实现，没有过多的第三方依赖，可分布式训练

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

Managed Machine Learning Systems and Internet of Things Live Lesson

An Eyeriss Chip (researched by MIT, a CNN accelerator) simulator and New DNN framework "Hive"

Push-pull streaming and Web display of YOLO series

Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.

MobilNet-SSD object detection in opencv 3.4.1

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

An implementation of MTCNN Face detector using OpenCV's DNN module

A Bulk Deployment tool for the DNN CMS. PolyDeploy is focussed on security, reliability and auditability.

Machine Learning in one line of code