Train a state-of-the-art yolov3 object detector from scratch!

TensorFlow Implementation of "Show, Attend and Tell"

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

YOLOv3 implementation in TensorFlow 2.3.1

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

项目注释+论文复现+算法竞赛

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

🔍 Attentional interfaces in TensorFlow.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

🙄 Difficult algorithm, Simple code.

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Action recognition using soft attention based deep recurrent neural networks

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Coherent Semantic Attention for image inpainting(ICCV 2019)

A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).

People removal in images using Pix2Pix and YOLO.