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ad-dl

Framework for the reproducible classification of Alzheimer's disease using deep learning

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

albumentations_examples

Augmentations usage examples for albumentations library

awesome-nas-papers

Awesome Neural Architecture Search Papers

awesome-public-datasets

A topic-centric list of HQ open datasets.

bird-classification-using-cnn

bloodcell

brain-tumor-segmentation-unet

Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.

caffe

Caffe: a fast open framework for deep learning.

calculate-flops.pytorch

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

caltech-pedestrian-dataset-to-yolo-format-converter

converts the format of the caltech pedestrian dataset to the format that yolo uses

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-deep-sort

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

coco-annotator

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

coco-dataset-explorer

Streamlit tool to explore coco datasets

cocoapi

COCO API - Dataset @ http://cocodataset.org/

convolutional-pose-machines-release

Code repository for Convolutional Pose Machines, CVPR'16

cornernet

coursera-generative-adversarial-networks-specialization

cpm

Convolutional Pose Machines in TensorFlow

dataset

The Open Images dataset

datasets

A Various Data Sets for Data Science, Machine Learning, and Artificial Intelligence

deeplearningexamples

Deep Learning Examples

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detr

End-to-End Object Detection with Transformers

distracted-driver-detection

Driver distraction detection to reduce the accidents

dl-training

jupyter notebook for mnist digit recognition using CNN, CNN feature map visualization and facical expression recognition

examples

TensorFlow examples

extremenet

Bottom-up Object Detection by Grouping Extreme and Center Points

facets

Visualizations for machine learning datasets