Harsh Thaker's starred repositories
yolov8face
Yolov8face is a Python wrapper of Ultrlytics that simplifies the process of detecting faces in images using the yolov8n-face model. It takes care of model downloading, loading and postprocessing, allowing you to detect faces in images with just a few lines of code.
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
fastnumpyio
Fast Numpy I/O : Fast replacement for numpy.load and numpy.save
volumentations
Library for 3D augmentations
yolov5faceInference
Wrapper over Yolo5Face
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
deep_learning_acute_illness
Code and data repository for Castela Forte et al. (2021)
coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
water-reminder-swiftui
A simple Apple Watch app to remind you to drink water!
CHIPageControl
A set of cool animated page controls written in Swift to replace boring UIPageControl. Mady by @ChiliLabs - https://chililabs.io
awesome-ios
A collaborative list of awesome for iOS developers. Include quick preview.
react-native-ml-app
End-to-end example of training, exporting and deploying a fastai model to a native iOS app
ios-demo-app
PyTorch iOS examples
split_data_percent_2
This scripts splits data into train, validation and test. Important difference from the previous script is that here images are in a single directory with no directories with class labels. Image filenames contain image ids. Labels are given separately in a CSV file.
Keras-ImageDataGenerator
A customized real-time ImageDataGenerator for Keras
colorization
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
split_data_percent
Python script to split data into 70% train, 15% validation, 15% test parts.
gen_sample_data
This Python script helps you generate sample train, validation data from the data.