Stars
A game theoretic approach to explain the output of any machine learning model.
Learn OpenCV : C++ and Python Examples
Automatic extraction of relevant features from time series:
An adversarial example library for constructing attacks, building defenses, and benchmarking both
COCO API - Dataset @ http://cocodataset.org/
Reference models and tools for Cloud TPUs.
A collection of infrastructure and tools for research in neural network interpretability.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
[ICCV 2019] Monocular depth estimation from a single image
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
Algorithms for outlier, adversarial and drift detection
Single-document unsupervised keyword extraction
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…
A Toolbox for Adversarial Robustness Research
Python Helper library for Jupyter Notebooks
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
python partial dependence plot toolbox
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Code for "High-Precision Model-Agnostic Explanations" paper
Use evolutionary algorithms instead of gridsearch in scikit-learn
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)