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36 search results found

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

Autokeras ⭐ 9,023

AutoML library for deep learning

Adanet ⭐ 3,309

Fast and flexible AutoML with learning guarantees.

Awesome Federated Learning ⭐ 1,481

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Morph Net ⭐ 1,010

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Genetic neural architecture search with Keras

Tinyml Papers And Projects ⭐ 566

This is a list of interesting papers and projects about TinyML.

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Syne Tune ⭐ 342

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Nn Meter ⭐ 265

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Deephyper ⭐ 253

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

Deepswarm ⭐ 245

Neural Architecture Search Powered by Swarm Intelligence 🐜

Lycoris ⭐ 188

A lightweight and easy-to-use deep learning framework with neural architecture search.

Deep_architect_legacy ⭐ 146

DeepArchitect: Automatically Designing and Training Deep Architectures

Torchprune ⭐ 130

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

Deep_architect ⭐ 98

A general, modular, and programmable architecture search framework

Receptive_field_analysis_toolbox ⭐ 91

A toolbox for receptive field analysis and visualizing neural network architectures

Awesome Auto Graph Learning ⭐ 77

A paper collection about automated graph learning

Naspapers ⭐ 59

Paper lists of neural architecture search (NAS)

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

Litmatter ⭐ 55

Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

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

[CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators

Hierarqcal ⭐ 31

Generate hierarchical quantum circuits for Neural Architecture Search.

Cerebros Core Algorithm Alpha ⭐ 26

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.

Auto Compression ⭐ 20

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

Tinyodom ⭐ 20

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

Codeepneat ⭐ 19

An implementation of CoDeepNEAT using pytorch with extensions

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables

Mindware ⭐ 14

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

Hierarchical_nas_construction ⭐ 8

Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)

Simplifiedtransformers ⭐ 6

SimplifiedTransformer simplifies transformer block without affecting training. Skip connections, projection parameters, sequential sub-blocks, and normalization layers are removed. Experimental results confirm similar training speed and performance.

Neurosymbolic Tinyml ⭐ 5

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

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