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UBC & BC Cancer Research Institute
- Vancouver
Stars
code for "Composed Image Retrieval via Cross Relation Network with Hierarchical Aggregation Transformer"
Unet pytorch on Custom dataset
Helper for dealing with MS-COCO annotations
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A collection of notebooks for Natural Language Processing from NLP Town
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Fine-tune Segment-Anything Model with Lightning Fabric.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)
[ICCV 2021] Authors official PyTorch implementation of the "WarpedGANSpace: Finding non-linear RBF paths in GAN latent space".
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Making binary mask images from JSON annotation
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A graph-transformer for whole slide image classification
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
Automatic skin lesions segmentation from ISIC archive
Metadata Processing Block (MetaBlock)
Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)
impelmentation of https://arxiv.org/pdf/2001.05647.pdf
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A LaTeX template for dissertations at the University of British Columbia
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Adversarial Attack on Visual Object Tracking