Abdelpakey

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Mohamed Abdelpakey's repositories

vot.py

Fixing vot.py to integrate it with python

Language:Python1 20

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

Language:PythonNOASSERTION020

awesome-background-subtraction

A curated list of background subtraction related papers and resources

020

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

000

CorrFlow

Self-supervised Learning for Video Correspondence Flow (BMVC Oral)

Language:Python000

COSNet

Code for CVPR 2019 paper

000

cv

My CV / Resume

Language:TeXMIT000

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

MIT000

DeepLearning

This repository keeps track of my awesome adventure trying to understand a little about deep learning (mainly with TensorFlow \o/ ).

Language:Jupyter Notebook000

deeplearning-models

A collection of various deep learning architectures, models, and tips

Language:Jupyter NotebookMIT000

deepMOT

Official implementation of DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.

Language:PythonLGPL-3.0020

fcos

An unofficial implementation of FCOS in Pytorch: 37.1-resnet50-700px

MIT000

GPyOpt

Gaussian Process Optimization using GPy

Language:Jupyter NotebookBSD-3-Clause010

Mathematics_for_Beginners

This is the formula sheet for "Mathematics for Beginners" by Siraj Raval on Youtube

010

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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OD-test

OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)

MIT000

open-images-dataset

Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.

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pacnet

Pixel-Adaptive Convolutional Neural Networks (CVPR '19)

Language:PythonNOASSERTION000

PTSNet

Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation

Language:Python010

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

Language:PythonApache-2.0020

ReDO

Code for paper Unsupervised Object Segmentation by Redrawing

Language:PythonNOASSERTION020

robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

Apache-2.0000

siamese-tracker-road-trip

基于孪生网络的单目标跟踪论文思路汇总

MIT000

siammask_e

This is the add-on package for the pysot project. SiamMask_E is an updated version of SiamMask with ellipse fitting and bounding box scale refinement.

Language:PythonApache-2.0020

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Language:Python020

single-parameter-fit

Real numbers, data science and chaos: How to fit any dataset with a single parameter

Language:Jupyter Notebook000

TADT

Implementation of the TADT tracker of paper 'Target-Aware Deep Tracking'

Language:MATLAB000

TADT-python

Pytorch implementation of the Target-Aware Deep Tracking (TADT) method.

Language:Python000

video-object-removal

Just draw a bounding box and you can remove the object you want to remove.

Language:Python010

vot-toolkit

Visual Object Tracking (VOT) challenge evaluation toolkit

NOASSERTION000