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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"

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-visualization-toolbox

DeepVis Toolbox

deepfool

A simple and accurate method to fool deep neural networks

deeppose

DeepPose implementation by Chainer

densepose

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

detectron

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

examples

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

faster_rcnn_pytorch

Faster RCNN with PyTorch

fb.resnet.reg

A Torch framework for regression problems

fb.resnet.torch

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

fcis

Fully Convolutional Instance-aware Semantic Segmentation

manejandodatos_python

manejandodatos_python

maskrcnn-benchmark

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

milq

Useful code of Manuel Ignacio López Quintero

multi_sensor_calibration

nn

openpose

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

pcl

Point Cloud Library (PCL)

pytorch-cyclegan-and-pix2pix

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

scikit-learn

scikit-learn: machine learning in Python

second.pytorch

SECOND for KITTI/NuScenes object detection

tensorflow

Computation using data flow graphs for scalable machine learning

torch-toolbox

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

torch7

http://torch.ch

universal_robot

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