CustomVisionMicrosoftToCoreMLDemoAppThis app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.
Stars: ✭ 25 (-26.47%)
Inceptionvisiondemo🎥 iOS11 demo application for dominant objects detection.
Stars: ✭ 48 (+41.18%)
IowncodeA curated collection of iOS, ML, AR resources sprinkled with some UI additions
Stars: ✭ 499 (+1367.65%)
Vision CoreML-AppThis app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.
Stars: ✭ 15 (-55.88%)
CarLens-iOSCarLens - Recognize and Collect Cars
Stars: ✭ 124 (+264.71%)
Cocoaai🤖 The Cocoa Artificial Intelligence Lab
Stars: ✭ 134 (+294.12%)
Facesvisiondemo👀 iOS11 demo application for age and gender classification of facial images.
Stars: ✭ 273 (+702.94%)
ObjectclassifierAn iOS swift app that detects objects using machine learning (CoreML, Vision)
Stars: ✭ 12 (-64.71%)
Sentimentcoremldemo😃 iOS11 demo application for sentiment polarity analysis.
Stars: ✭ 104 (+205.88%)
Flowersvisiondemo🌸 iOS11 demo application for flower classification.
Stars: ✭ 90 (+164.71%)
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 (-52.94%)
MNIST-CoreMLPredict handwritten digits with CoreML
Stars: ✭ 63 (+85.29%)
mlmodelzooBuild your iOS 11+ apps with the ready-to-use Core ML models below
Stars: ✭ 17 (-50%)
sentiment-analysis🎈 A Node.js AFINN-111 based sentiment analysis module
Stars: ✭ 26 (-23.53%)
sentibol⚽ Notebook feito para analisar o case do Sentibol
Stars: ✭ 18 (-47.06%)
TokenLabelingPytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
Stars: ✭ 385 (+1032.35%)
res-mlp-pytorchImplementation of ResMLP, an all MLP solution to image classification, in Pytorch
Stars: ✭ 178 (+423.53%)
SA-DLSentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.
Stars: ✭ 35 (+2.94%)
face age genderCan we predict the age and gender of someone given a picture of their face ?
Stars: ✭ 40 (+17.65%)
edge detectorHED real-time iOS edge detector.
Stars: ✭ 40 (+17.65%)
photonvisionPhotonVision is the free, fast, and easy-to-use computer vision solution for the FIRST Robotics Competition.
Stars: ✭ 115 (+238.24%)
Whatsapp-analyticsperforming sentiment analysis on the whatsapp chats.
Stars: ✭ 20 (-41.18%)
graspEssential NLP & ML, short & fast pure Python code
Stars: ✭ 58 (+70.59%)
sentometricsAn integrated framework in R for textual sentiment time series aggregation and prediction
Stars: ✭ 77 (+126.47%)
HackerNewsA .NET MAUI app for displaying the top posts on Hacker News that demonstrates text sentiment analysis gathered using artificial intelligence
Stars: ✭ 184 (+441.18%)
AnimeGANv3Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
Stars: ✭ 878 (+2482.35%)
stereo.visionplanar fitting computation using stereo vision techniques
Stars: ✭ 19 (-44.12%)
brand-sentiment-analysisScripts utilizing Heartex platform to build brand sentiment analysis from the news
Stars: ✭ 21 (-38.24%)
calvinCALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Stars: ✭ 105 (+208.82%)
analyzing-reddit-sentiment-with-awsLearn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.
Stars: ✭ 40 (+17.65%)
CNN-GoogLeNet👁 Vision : Model 4: GoogLeNet : Image Classification
Stars: ✭ 17 (-50%)
sam-textvqaOfficial code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.
Stars: ✭ 51 (+50%)
handbookWe're a small high-trust livelihood pod doing tech consulting within Enspiral.
Stars: ✭ 35 (+2.94%)
createml-playgroundsCreate ML playgrounds for building machine learning models. For developers and data scientists.
Stars: ✭ 82 (+141.18%)
bert-sentimentFine-grained Sentiment Classification Using BERT
Stars: ✭ 49 (+44.12%)
Senti4SDAn emotion-polarity classifier specifically trained on developers' communication channels
Stars: ✭ 41 (+20.59%)
pybvA lightweight I/O utility for the BrainVision data format, written in Python.
Stars: ✭ 18 (-47.06%)
TextMoodA Xamarin + IoT + Azure sample that detects the sentiment of incoming text messages, performs sentiment analysis on the text, and changes the color of a Philips Hue lightbulb
Stars: ✭ 52 (+52.94%)