Protest Detection Violence EstimationImplementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)
Stars: ✭ 114 (-98.14%)
ImgclsmobSandbox for training deep learning networks
Stars: ✭ 2,405 (-60.66%)
RegnetPytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
Stars: ✭ 129 (-97.89%)
ML4K-AI-ExtensionUse machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
Stars: ✭ 18 (-99.71%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-98.68%)
Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Stars: ✭ 88 (-98.56%)
DatasetCrop/Weed Field Image Dataset
Stars: ✭ 98 (-98.4%)
mybabeMyBB CAPTCHA Solver using Convolutional Neural Network in Keras
Stars: ✭ 18 (-99.71%)
omikujiAn efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
Stars: ✭ 69 (-98.87%)
Resnetcam KerasKeras implementation of a ResNet-CAM model
Stars: ✭ 269 (-95.6%)
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 (-99.39%)
Codar✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷
Stars: ✭ 52 (-99.15%)
Images Web CrawlerThis 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..
Stars: ✭ 51 (-99.17%)
Aspect-Based-Sentiment-AnalysisA python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.
Stars: ✭ 57 (-99.07%)
HARRecognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Stars: ✭ 18 (-99.71%)
Iciar2018Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
Stars: ✭ 149 (-97.56%)
AutoannotationtoolA label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported
Stars: ✭ 113 (-98.15%)
CvatPowerful and efficient Computer Vision Annotation Tool (CVAT)
Stars: ✭ 6,557 (+7.25%)
Pointclouddatasets3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
Stars: ✭ 80 (-98.69%)
SnapeSnape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.
Stars: ✭ 155 (-97.46%)
Universal Data ToolCollaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Stars: ✭ 1,356 (-77.82%)
napkinXCExtremely simple and fast extreme multi-class and multi-label classifiers.
Stars: ✭ 38 (-99.38%)
Php MlPHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+29.21%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (-93.87%)
EfficientnetImplementation of EfficientNet model. Keras and TensorFlow Keras.
Stars: ✭ 1,920 (-68.6%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (-96.53%)
Tensorflow object tracking videoObject Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
Stars: ✭ 491 (-91.97%)
MultidigitmnistCombine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
Stars: ✭ 48 (-99.21%)
TrashnetDataset of images of trash; Torch-based CNN for garbage image classification
Stars: ✭ 368 (-93.98%)
Label StudioLabel Studio is a multi-type data labeling and annotation tool with standardized output format
Stars: ✭ 7,264 (+18.81%)
Nas Bench 201NAS-Bench-201 API and Instruction
Stars: ✭ 537 (-91.22%)
MmclassificationOpenMMLab Image Classification Toolbox and Benchmark
Stars: ✭ 532 (-91.3%)
SimplecvreproductionReproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.
Stars: ✭ 602 (-90.15%)
FishnetImplementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
Stars: ✭ 533 (-91.28%)
PycococreatorHelper functions to create COCO datasets
Stars: ✭ 530 (-91.33%)
SmileStatistical Machine Intelligence & Learning Engine
Stars: ✭ 5,412 (-11.48%)
PaddleclasA treasure chest for image classification powered by PaddlePaddle
Stars: ✭ 625 (-89.78%)
WeaviateWeaviate is a cloud-native, modular, real-time vector search engine
Stars: ✭ 509 (-91.67%)
Lightning FlashCollection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
Stars: ✭ 592 (-90.32%)
Random ErasingRandom Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Stars: ✭ 511 (-91.64%)
CdapAn open source framework for building data analytic applications.
Stars: ✭ 509 (-91.67%)
MagpieDeep neural network framework for multi-label text classification
Stars: ✭ 622 (-89.83%)
Gluon CvGluon CV Toolkit
Stars: ✭ 5,001 (-18.2%)
Cranium🤖 A portable, header-only, artificial neural network library written in C99
Stars: ✭ 501 (-91.81%)
Voice datasets🔊 A comprehensive list of open-source datasets for voice and sound computing (50+ datasets).
Stars: ✭ 494 (-91.92%)