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Seq2seq Workshop ⭐ 15

Seq2Seq workshop materials

Coco Panoptic ⭐ 14

Quick attempt at a panoptic segmentation model

A multi-task model which does image captioning, sentence paraphrasing and cross-modal retrieval.

Deep Learning ⭐ 14

Side projects and hands-on work

Fast Style Transfer Tutorial Pytorch ⭐ 14

Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.

Object Detection Tools ⭐ 13

Tools for object detection annotations in machine learning

Keras Image2text ⭐ 11

Self Critical ⭐ 11

PyTorch implementation of paper: "Self-critical Sequence Training for Image Captioning"

Maskrcnn_custom_training_testing_python ⭐ 11

[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

Dcase_2020_t6 ⭐ 8

2nd place solution for 2020 DCASE challenge task 6 audio captioning. http://dcase.community/challenge2020/task-automati

Fast alternative to FiftyOne for creating a subset of the COCO dataset.

Object Detection Segmentation ⭐ 8

How to run object detection models on Gradient including re-training and inference

Deep Representation Of Visual Descriptions ⭐ 8

Deep representation of visual and textual descriptions using StackGAN

Diverse_and_specific_image_captioning ⭐ 7

Unsupervised specificity-guided optimization of Image Captioning models to encourage meaningful diversity in the generated captions.

Jakarnotator ⭐ 7

The Jakarnotator is an annotation tool to create your own database for instance segmentation problem.

Sordi Data Pipeline Reader ⭐ 7

SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines.

Pytorch_retinanet ⭐ 6

A PyTorch implementation of RetinaNet with `ResNet` backbone

The official implementation of LumiNet: The Bright Side of Perceptual Knowledge Distillation https://arxiv.org/abs/2310.03669

Object Counter Yolov3 ⭐ 6

Object counter is toolkit uses YOLO V3(you only look once version 3) algorithm. this toolkit not only make object detection on images/videos but also count the number of objects presents in the image/video.

Pytorch_yolov3 ⭐ 5

A PyTorch Implementation of YOLOv3

Mask Rcnn Webcam ⭐ 5

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