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

TensorFlow Lite Helper for Android to help getting started with TesnorFlow.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

reproduction of the article

One-click image sorting/labelling script

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

ROS2 nodes for computer vision tasks in Tensorflow

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

DeepArchitect: Automatically Designing and Training Deep Architectures

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

🚧 Under Construction 🚧 记录搭建家用兼顾学习和娱乐网络环境的一些事情，以及折腾过的一些硬件的小经验。

This repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Final Project of the Udacity AI Programming with Python Nanodegree

An easy to use C# deep learning library with CUDA/OpenCL support

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

🙄 Difficult algorithm, Simple code.

Differentiable architecture search for convolutional and recurrent networks

Brevitas: quantization-aware training in PyTorch

Zalo AI Challenge - Landmark Identification

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

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

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

image classification via video input, frame-by-frame

This project is a kind of implementation of SpineNet(CVPR 2020) using mmdetection.

Federated Learning Library: https://fedml.ai

Image classification of wildflowers using deep residual learning and convolutional neural nets

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

🍎 My own face recognition with deep neural networks.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

Extract deep learning features from images using simple python interface

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

TensorFlow implementation of PNASNet-5 on ImageNet

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Fast and flexible AutoML with learning guarantees.

Easy-to-use scripts for training and inferencing with Xception on your own dataset

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

Qnap lcd python module, features both writing to the display as wel as reading keypresses from the panel keys. It was developed on a Qnap TS-459 and a TS-453A, it works on some other models as well.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Armbian configuration utility

R package for generating color palettes from arbitrary images.

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

This repository contains the dataset and the source code for the classification of food categories from meal images.

real-time network architecture for mobile devices and semantic segmentation

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

Train the HRNet model on ImageNet

Food classification using deep learning

This project is to use deep learning to auto classify the scene images with limited amount of training images.

Experiments with Mobile

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

Implementation of EfficientNet model. Keras and TensorFlow Keras.

A curated list of deep learning image classification papers and codes

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification