lindsey98's Projects
Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)
Efficient Diffusion for Image Retrieval
Towards Interpretable Deep Metric Learning with Structural Matching
pytorch implementation of the ICCV paper Sampling Matters in Deep Embedding Learning
Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A faster pytorch implementation of faster r-cnn
Translate images to unseen domains in the test time with few example images.
TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data (https://arxiv.org/abs/2002.11297).
Sample repository to demonstrate use of Github Actions for SE&PL Research Group.
Grab AI Safety Challenge
Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)
Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.
Simple classifier for icons
Code for Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
Influence Function for Deep Metric Learning
Official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning (ICML 2021) published at International Conference on Machine Learning
LaTeX style file for the Journal of Machine Learning Research
A basic phishing kit scanner for dedicated and semi-dedicated hosting
In progress.
A python library for self-supervised learning on images.
Config files for my GitHub profile.
Code for visualizing the loss landscape of neural nets
Create animations for the optimization trajectory of neural nets
This repository contains solutions to assorted questions in the Textbook Linear Algebra:Concepts ant Techniques on Euclidean Spaces by Ma Siu Lun et al.