gizemtanriver's Stars
secondlaw-ai/skyrim
๐ ๐ค AI weather models united
sanometech/ukbiobank-crc
ahmedmalaa/AutoPrognosis
Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
erdogant/distfit
distfit is a python library for probability density fitting.
aws-samples/amazon-sagemaker-mlops-workshop
MLOps workshop with Amazon SageMaker
cosmicAITS/AITS1
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
CogStack/MedCAT
Medical Concept Annotation Tool
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
ksonbol/edgekv
A Decentralized, Scalable, and Consistent Storage for the Edge
streamlit/streamlit
Streamlit โ A faster way to build and share data apps.
fcakyon/augmented-maskrcnn
Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
learningtitans/isic2018-part3
Source code for 'ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection' - Task 3 (Classification)
ultralytics/yolov5
YOLOv5 ๐ in PyTorch > ONNX > CoreML > TFLite
Raschka-research-group/coral-cnn
Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation
claimed-framework/component-library
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
adriaromero/Skin_Lesion_Detection_Deep_Learning
Skin lesion detection from dermoscopic images using Convolutional Neural Networks
simula/hyper-kvasir
GitHub repository for the Hyper-Kvasir dataset.
carpedm20/simulated-unsupervised-tensorflow
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
deyachatterjee/Lung-Cancer-Detection-CNN-and-GAN
Detecting lung cancer from annotated CT scans of lung lesions from the LUNA16 dataset using CNN and GAN
keras-team/keras-applications
Reference implementations of popular deep learning models.
fchollet/deep-learning-models
Keras code and weights files for popular deep learning models.
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
priya-dwivedi/Music_Genre_Classification
zhixuhao/unet
unet for image segmentation
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ActiveConclusion/COVID19_mobility
COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports๐ถ๐๐
experiencor/keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).