aabobakr

aabobakr.github.io

adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

caffe

Caffe: a fast open framework for deep learning.

cleverhans

A library for benchmarking vulnerability to adversarial examples

Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

deeppose

DeepPose implementation by Chainer

Detectron

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

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

aabobakr/Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

aabobakr/aabobakr.github.io

aabobakr/adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

aabobakr/caffe

Caffe: a fast open framework for deep learning.

aabobakr/cleverhans

A library for benchmarking vulnerability to adversarial examples

aabobakr/decaNLP

The Natural Language Decathlon: A Multitask Challenge for NLP

aabobakr/Detectron

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

aabobakr/openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

aabobakr/pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

aabobakr/deep-visualization-toolbox

DeepVis Toolbox

aabobakr/DeepFool

A simple and accurate method to fool deep neural networks

aabobakr/DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

aabobakr/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

aabobakr/faster_rcnn_pytorch

Faster RCNN with PyTorch

aabobakr/fb.resnet.reg

A Torch framework for regression problems

aabobakr/fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

aabobakr/FCIS

Fully Convolutional Instance-aware Semantic Segmentation

aabobakr/maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

aabobakr/milq

Useful code of Manuel Ignacio López Quintero

aabobakr/multi_sensor_calibration

aabobakr/nn

aabobakr/pcl

Point Cloud Library (PCL)

aabobakr/scikit-learn

scikit-learn: machine learning in Python

aabobakr/second.pytorch

SECOND for KITTI/NuScenes object detection

aabobakr/tensorflow

Computation using data flow graphs for scalable machine learning

aabobakr/torch-toolbox

A collection of snippets and libraries for Torch from e-Lab

aabobakr/torch7

http://torch.ch

aabobakr/universal_robot

ROS-Industrial universal robot meta-package (http://wiki.ros.org/universal_robot)

aabobakr/velodyne_height_map

ROS obstacle detection for 3D point clouds using a height map algorithm.

aabobakr/visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.