458 Open source projects that are alternatives of or similar to Dna

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

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

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my own deep learning mastery roadmap

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

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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

Awesome Neural Architecture Search Papers

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

Automated deep learning algorithms implemented in PyTorch.

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Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

A general, modular, and programmable architecture search framework

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Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Source code of Indian Paper Currency Prediction 🔥

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

An example of using Tensorflow with Unity for image classification and object detection.

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LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

reproduction of the article

DeepArchitect: Automatically Designing and Training Deep Architectures

🙄 Difficult algorithm, Simple code.

This directory contains code necessary to run the GraphNAS algorithm.

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

TensorFlow implementation of PNASNet-5 on ImageNet

Test Time image Augmentation (TTA) wrapper for Keras model.

Deep Learning Food Classifier for iOS using Keras and Tensorflow

A tool for quickly training image classifiers in the browser

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

A smart album for Android which use tensorflow to classify images

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Cheatsheet and bash scripts sripts for Synology Nas Stations cheet cheat sheet nas networkdisk

[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

Image Tampering Detection using ELA and CNN

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CNN image classifier implemented in Keras Notebook 🖼️.

Image classification: efficientnet/resnest/seresnext/.....

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Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Object classification with CIFAR-10 using transfer learning

Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

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🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

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