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Chung-Ang University
- Seoul, Korea
- https://sites.google.com/view/yjyoo3312
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Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.
🧇Waffle Hub🧇 is Deep Learning 🛠️Open Source Framework Adapter. It provides you 😎no-code, 😏easy training and inference!
Official pytorch implementation for TVQ-VAE
Pytorch implementation of the paper 'Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding' (AAAI2024).
Project Page of "Past as a Guide: Leveraging retrospective learning for Python code completion"
Jupyter notebook examples for EXAONE Atelier in AWS Marketplace
Official pytorch implementation for GeNAS: Neural Architecture Search with Better Generalization
Official Pytorch Implementation of Our CVPR2023 Paper: "Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation"
[CVPR2023] The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
Topic Model based on Pretrained Sentence Embeddings (with BERT)
yjyoo3312 / ETM
Forked from adjidieng/ETMTopic Modeling in Embedding Spaces
Topic taxonomy completion with hierarchical discovery of novel topic clusters
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds (NAACL'22)
yjyoo3312 / SeedTopicMine
Forked from yzhan238/SeedTopicMineThe source code used for paper "Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts", in WSDM 2023.
Improved Embedded Topic Models in Hyperbolic Space
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
[CVPR 2022] Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
This is the source code of the paper "Network Recasting: A Universal Method for Network Architecture Transformation".