SceneClassificationThis project is to use deep learning to auto classify the scene images with limited amount of training images.
Stars: ✭ 17 (-45.16%)
Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Stars: ✭ 59 (+90.32%)
nsfw apiPython REST API to detect images with adult content
Stars: ✭ 71 (+129.03%)
Tta wrapperTest Time image Augmentation (TTA) wrapper for Keras model.
Stars: ✭ 98 (+216.13%)
pigalleryPiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging
Stars: ✭ 35 (+12.9%)
image featuresExtract deep learning features from images using simple python interface
Stars: ✭ 84 (+170.97%)
bird species classificationSupervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data
Stars: ✭ 59 (+90.32%)
Ml ClassifierA tool for quickly training image classifiers in the browser
Stars: ✭ 97 (+212.9%)
Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
Stars: ✭ 31 (+0%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+4083.87%)
ePillID-benchmarkePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)
Stars: ✭ 54 (+74.19%)
CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-modelThis project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…
Stars: ✭ 16 (-48.39%)
Wb color augmenterWB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Stars: ✭ 89 (+187.1%)
Bag-of-Visual-Words🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.
Stars: ✭ 39 (+25.81%)
deep-parkingCode to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
Stars: ✭ 81 (+161.29%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Stars: ✭ 85 (+174.19%)
skillful nowcastingImplementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
Stars: ✭ 117 (+277.42%)
image-classificationA collection of SOTA Image Classification Models in PyTorch
Stars: ✭ 70 (+125.81%)
BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
Stars: ✭ 84 (+170.97%)
ML4K-AI-ExtensionUse machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
Stars: ✭ 18 (-41.94%)
super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
Stars: ✭ 429 (+1283.87%)
catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
Stars: ✭ 13 (-58.06%)
Pytorch BookPyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Stars: ✭ 9,546 (+30693.55%)
SimplePythonCNNOnly in native python & numpy with Keras interface
Stars: ✭ 31 (+0%)
auslan-party✌Real-time translation of the Auslan Alphabet
Stars: ✭ 38 (+22.58%)
Deep RankingLearning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
Stars: ✭ 64 (+106.45%)
TFLite-Android-HelperTensorFlow Lite Helper for Android to help getting started with TesnorFlow.
Stars: ✭ 25 (-19.35%)
neuro-symbolic-ai-socNeuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
Stars: ✭ 41 (+32.26%)
favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
Stars: ✭ 12 (-61.29%)
The Third EyeAn AI based application to identify currency and gives audio feedback.
Stars: ✭ 63 (+103.23%)
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 (+7064.52%)
tensorflow-classificationA unified program to check predictions of different convolutional neural networks for image classification.
Stars: ✭ 68 (+119.35%)
Meme GeneratorMemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
Stars: ✭ 57 (+83.87%)
stackml-jsMachine Learning platform in-browser for creators
Stars: ✭ 34 (+9.68%)
DCAN[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717
Stars: ✭ 27 (-12.9%)
awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
Stars: ✭ 419 (+1251.61%)
NeuralNetworksImplementation of a Neural Network that can detect whether a video is in-game or not
Stars: ✭ 64 (+106.45%)
IdenprofIdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.
Stars: ✭ 149 (+380.65%)