ema-rachmawati Goto Github PK

batch-processing-kupu

batch-processing-kupu

bonescansegment

cnn-examples

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

examples

TensorFlow examples

face_recognition

The world's simplest facial recognition api for Python and the command line

finetune-detr

Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

karsajobs

karsajobs-ui

kupu_offline

materi-fg-cnn

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mnist-digit.recognizer-cnns

Implementation of CNN to recognize hand written digits (MNIST) running for 10 epochs. Accuracy: 98.99%

models

Models and examples built with TensorFlow

mslearn-ai900

Lab files for AI-900: Azure AI Fundamentals

notes-app-back-end

object-detection-yolo

optic-nerve-cnn

Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"

papers-object-detection

practical-ml-vision-book

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-vit

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale