275 Open source projects that are alternatives of or similar to TF-NAS

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.

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

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

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

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

PyTorch implementation of PNASNet-5 on ImageNet

Awesome Neural Architecture Search Papers

my own deep learning mastery roadmap

Reproducible Rapid Research for Neural Architecture Search (NAS)

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

"NAS evaluation is frustratingly hard", ICLR2020

TensorFlow implementation of PNASNet-5 on ImageNet

Automated deep learning algorithms implemented in PyTorch.

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

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

Encodings for neural architecture search

This repo is about NAS

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

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

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

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

Script for sync operations between your NAS and your seedbox.

Scripts to work with LMDB + PyTorch for Imagenet training

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

73.6% GhostNet 1.0x pre-trained model on ImageNet

No description or website provided.

Training Low-bits DNNs with Stochastic Quantization

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

MixPath: A Unified Approach for One-shot Neural Architecture Search

A toolbox for receptive field analysis and visualizing neural network architectures

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

My Synology automation scripts. Making Synology NAS command line usable

Compare neural networks by their feature similarity

Parametric Contrastive Learning (ICCV2021)

A curated list of storage open source tools. Backups, redundancy, sharing, distribution, encryption, etc.

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

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

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Differentiable architecture search for convolutional and recurrent networks

Xception implemented with caffe

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

H. Zhang, Q. Yao, M. Yang, Y. Xu, X. Bai. AutoSTR: Efficient Backbone Search for Scene Text Recognition. European Conference on Computer Vision (ECCV). 2020.

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Local Movies Organizer

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

Etiketai is an online tool designed to label images, useful for training AI models

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

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

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

Parallel random matrix tools and complexity for deep learning

This repo is a fork of Difegue / LANraragi , those things i've done was to translate this repo into chinese ,and fix chrome browser js problem.

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

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

🌐👨‍💻💻 Setup your own NAS on a Raspberry Pi

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

PyTorch implementation of EfficientNetV2 family

youtube download queue websocket server with login for private NAS.