Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
Stars: β 338 (+284.09%)
pyradoxState of the Art Neural Networks for Deep Learning
Stars: β 61 (-30.68%)
Face recognitionπ My own face recognition with deep neural networks.
Stars: β 328 (+272.73%)
MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Stars: β 28 (-68.18%)
Involution[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
Stars: β 252 (+186.36%)
SCLπ Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).
Stars: β 42 (-52.27%)
Lightnetπ Bringing pjreddie's DarkNet out of the shadows #yolo
Stars: β 322 (+265.91%)
DartsDifferentiable architecture search for convolutional and recurrent networks
Stars: β 3,463 (+3835.23%)
PyramidnetPytorch implementation of pyramidnet
Stars: β 27 (-69.32%)
ML4K-AI-ExtensionUse machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
Stars: β 18 (-79.55%)
Bss distillationKnowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
Stars: β 51 (-42.05%)
Stagesepxdetect stages in video automatically
Stars: β 293 (+232.95%)
Computer Vision Guideπ This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
Stars: β 244 (+177.27%)
Vit PytorchImplementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Stars: β 7,199 (+8080.68%)
Mobilenetv2A Keras implementation of MobileNetV2.
Stars: β 277 (+214.77%)
Resnetcam KerasKeras implementation of a ResNet-CAM model
Stars: β 269 (+205.68%)
metric-transfer.pytorchDeep Metric Transfer for Label Propagation with Limited Annotated Data
Stars: β 49 (-44.32%)
MultidigitmnistCombine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
Stars: β 48 (-45.45%)
HubA library for transfer learning by reusing parts of TensorFlow models.
Stars: β 3,007 (+3317.05%)
Googlenet InceptionTensorFlow implementation of GoogLeNet and Inception for image classification.
Stars: β 230 (+161.36%)
Image-SortSorts your image at high speed
Stars: β 15 (-82.95%)
Time-Series-ForecastingRainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
Stars: β 27 (-69.32%)
siameseOne-shot learning for image classification using Siamese neural networks
Stars: β 26 (-70.45%)
Ml Classifier UiA UI tool for quickly training image classifiers in the browser
Stars: β 224 (+154.55%)
Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: β 217 (+146.59%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: β 66 (-25%)
Emotion-recognition-from-tweetsA comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.
Stars: β 17 (-80.68%)
Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.π π¨βπ»π₯ π©π
Stars: β 21 (-76.14%)
LabelimgποΈ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Stars: β 16,088 (+18181.82%)
HugsVisionHugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Stars: β 154 (+75%)
TensorPyEasy Image Classification with TensorFlow
Stars: β 44 (-50%)
DataturksML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
Stars: β 200 (+127.27%)
retailboxποΈRetailBox - eCommerce Recommender System using Machine Learning
Stars: β 32 (-63.64%)
PlayerDetectionPlayer detection and ball detection in football matches using image processing(opencv).
Stars: β 50 (-43.18%)
DynamicViT[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Stars: β 340 (+286.36%)
pyro-visionComputer vision library for wildfire detection
Stars: β 33 (-62.5%)
Nude.jsNudity detection with JavaScript and HTMLCanvas
Stars: β 2,236 (+2440.91%)
GFNet[NeurIPS 2021] Global Filter Networks for Image Classification
Stars: β 199 (+126.14%)
pycoalPython toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands
Stars: β 20 (-77.27%)
Beauty NetA simple, flexible, and extensible template for PyTorch. It's beautiful.
Stars: β 190 (+115.91%)
HSI-Traditional-to-Deep-ModelsPytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
Stars: β 72 (-18.18%)
BasicNeuralNetTrying to understand neural nets by building a simple one from scratch
Stars: β 34 (-61.36%)
EfficientnasTowards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Stars: β 44 (-50%)
Mobilenetv3A Keras implementation of MobileNetV3.
Stars: β 181 (+105.68%)
image-classificationA collection of SOTA Image Classification Models in PyTorch
Stars: β 70 (-20.45%)
Deep-Learning-CourseraProjects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Stars: β 123 (+39.77%)
NeurapseNuerapse simulations for SNNs
Stars: β 22 (-75%)
Batch-FirstA JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.
Stars: β 27 (-69.32%)
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: β 31 (-64.77%)
neat-pythonPython implementation of the NEAT neuroevolution algorithm
Stars: β 32 (-63.64%)