Evo-ViTOfficial implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Stars: ✭ 50 (-85.29%)
goexif2MAINTAINER WANTED -- Decode embedded EXIF meta data from image files written in Pure Golang
Stars: ✭ 35 (-89.71%)
Food-Categories-ClassificationThis repository contains the dataset and the source code for the classification of food categories from meal images.
Stars: ✭ 48 (-85.88%)
image featuresExtract deep learning features from images using simple python interface
Stars: ✭ 84 (-75.29%)
AlphaTree-graphic-deep-neural-networkAI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
Stars: ✭ 2,221 (+553.24%)
TNCR DatasetDeep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142
Stars: ✭ 37 (-89.12%)
tutorialsA tutorial series by Preferred.AI
Stars: ✭ 136 (-60%)
rps-cvA Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
Stars: ✭ 102 (-70%)
stackml-jsMachine Learning platform in-browser for creators
Stars: ✭ 34 (-90%)
favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
Stars: ✭ 12 (-96.47%)
ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
Stars: ✭ 1,102 (+224.12%)
huggingpics🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
Stars: ✭ 161 (-52.65%)
MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Stars: ✭ 28 (-91.76%)
imgpalrR package for generating color palettes from arbitrary images.
Stars: ✭ 44 (-87.06%)
food-detection-yolov5🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕
Stars: ✭ 68 (-80%)
trojanzooTrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
Stars: ✭ 178 (-47.65%)
awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
Stars: ✭ 419 (+23.24%)
CGvsPhotoComputer Graphics vs Real Photographic Images : A Deep-learning approach
Stars: ✭ 24 (-92.94%)
zalo-landmarkZalo AI Challenge - Landmark Identification
Stars: ✭ 39 (-88.53%)
chitraA multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Stars: ✭ 210 (-38.24%)
Maix-LogoClassifierA simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.
Stars: ✭ 25 (-92.65%)
ResNet-50-CBAM-PyTorchImplementation 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.
Stars: ✭ 31 (-90.88%)
Plant AIPerforming Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.
Stars: ✭ 36 (-89.41%)
backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Stars: ✭ 229 (-32.65%)
multi-task-learningMulti-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
Stars: ✭ 154 (-54.71%)
PyTrxPyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.
Stars: ✭ 31 (-90.88%)
image-sorter2One-click image sorting/labelling script
Stars: ✭ 65 (-80.88%)
denoised-smoothingProvably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
Stars: ✭ 82 (-75.88%)
etiketaiEtiketai is an online tool designed to label images, useful for training AI models
Stars: ✭ 63 (-81.47%)
ros2-tensorflowROS2 nodes for computer vision tasks in Tensorflow
Stars: ✭ 41 (-87.94%)
SimplePythonCNNOnly in native python & numpy with Keras interface
Stars: ✭ 31 (-90.88%)
deep-learningProjects 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…
Stars: ✭ 43 (-87.35%)
DeTraC COVId19Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Stars: ✭ 34 (-90%)
mementoOrganize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory
Stars: ✭ 70 (-79.41%)
meta-st-stm32mpu-aiThis repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1
Stars: ✭ 32 (-90.59%)
auslan-party✌Real-time translation of the Auslan Alphabet
Stars: ✭ 38 (-88.82%)
vframeVFRAME: Visual Forensics and Metadata Extraction
Stars: ✭ 41 (-87.94%)
catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
Stars: ✭ 13 (-96.18%)
deepstack-uiUI for working with Deepstack
Stars: ✭ 115 (-66.18%)
CV本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络,图像生成网络等,并会持续更新!!!
Stars: ✭ 72 (-78.82%)
esvitEsViT: Efficient self-supervised Vision Transformers
Stars: ✭ 323 (-5%)
super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
Stars: ✭ 429 (+26.18%)
TFLite-Android-HelperTensorFlow Lite Helper for Android to help getting started with TesnorFlow.
Stars: ✭ 25 (-92.65%)
tfvaegan[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
Stars: ✭ 107 (-68.53%)