Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video ta…

Real-time multi-object tracker using YOLO v5 and deep sort

A preprocess tool for converting UA-Detrac detection dataset into coco format

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

This project purpose is convert voc annotation xml file to yolo-darknet training file format

Pytorch implementation of convolutional neural network visualization techniques

A paper list of object detection using deep learning.

Collection of public available person re-identification datasets

Implementation of BinaryConnect on Pytorch

My best practice of training large dataset using PyTorch.

The official TensorFlow implementation of WS-DAN.

Destruction and Construction Learning for Fine-grained Image Recognition

💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

Various translations of OSTEP can be found here. Help the cause and contribute!

Code for the CVPR Paper "Deep Layer Aggregation"

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

Model analyzer in PyTorch

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)