awsaf49

netron

Visualizer for neural network, deep learning and machine learning models

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

ivy

Convert ML Code Between Frameworks

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

detr

End-to-End Object Detection with Transformers

vision_transformer

kaggle-api

Official Kaggle API

imagededup

😎 Finding duplicate images made easy!

SegLossOdyssey

A collection of loss functions for medical image segmentation

colorama

Simple cross-platform colored terminal text in Python

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

imgclsmob

Sandbox for training deep learning networks

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

pydicom

Read, modify and write DICOM files with python code

medical-datasets

tracking medical datasets, with a focus on medical imaging

torchlibrosa

jupyter-black

Black formatter for Jupyter Notebook

vit-keras

Keras implementation of ViT (Vision Transformer)

Efficient-CapsNet

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

mwh

tf-raft

RAFT (Recurrent All Pairs Field Transforms for Optical Flow) implementation via tf.keras

ResNeSt-Tensorflow2

ResNeSt: Split-Attention Networks for Tensorflow2

tf_clahe

CLAHE implemented in python TF ops

kagoole

Search kaggle competitions and solutions based on data and predict type, evaluation metric, etc.

DL-CNN-CheXpert-data

cs230 project codes and results

Multi-Attention

Implementation of Multi-Attention, consist of CBAM and DeepMoji