Differentiable Vector Graphics Rasterization

[CVPR 2022 Oral] Towards Layer-wise Image Vectorization

Datasets, Transforms and Models specific to Computer Vision

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Synthesizing and manipulating 2048x1024 images with conditional GANs

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

Open3D: A Modern Library for 3D Data Processing

Open Source Computer Vision Library

Library for training machine learning models with privacy for training data

Classification with PyTorch.

Ned ros stack

A new data augmentation method for extreme lighting conditions.

ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.

Niryo One ROS stack

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

My code snippets for computer vision.

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Differentiable Data Augmentation Library

Tools for generating mini-ImageNet dataset and processing batches

The segraph library creates graphs from SLIC superpixels. It can be used for using CRF for image segmentation https://pypi.python.org/pypi/segraph/0.5

InstaHide: Instance-hiding Schemes for Private Distributed Learning