aabobakr Goto Github PK
Name: Ahmed Abobakr
Type: User
Bio: Research Fellow who is passionate about Deep Learning and Computer Vision research for real-world problems.
Location: Australia
Name: Ahmed Abobakr
Type: User
Bio: Research Fellow who is passionate about Deep Learning and Computer Vision research for real-world problems.
Location: Australia
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: a fast open framework for deep learning.
A library for benchmarking vulnerability to adversarial examples
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
The Natural Language Decathlon: A Multitask Challenge for NLP
DeepVis Toolbox
A simple and accurate method to fool deep neural networks
DeepPose implementation by Chainer
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Faster RCNN with PyTorch
A Torch framework for regression problems
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
Fully Convolutional Instance-aware Semantic Segmentation
manejandodatos_python
Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.
Useful code of Manuel Ignacio López Quintero
OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library
Point Cloud Library (PCL)
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
scikit-learn: machine learning in Python
SECOND for KITTI/NuScenes object detection
Computation using data flow graphs for scalable machine learning
A collection of snippets and libraries for Torch from e-Lab
http://torch.ch
ROS-Industrial universal robot meta-package (http://wiki.ros.org/universal_robot)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.