Jin-Hwa Kim (jnhwkim)

jnhwkim

Geek Repo

Company:NAVER AI Lab

Location:Seoul, Republic of Korea

Home Page:http://wityworks.com

Twitter:@jnhwkim

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Jin-Hwa Kim's repositories

ban-vqa

Bilinear attention networks for visual question answering

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orthoad

Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

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Pensees

A collection of fragments for reading research papers.

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ngp_pl

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

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awesome-anomaly-detection

A curated list of awesome anomaly detection resources

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awesome-NeRF

A curated list of awesome neural radiance fields papers

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Awesome-Text-to-Image

(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

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graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

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HERO

Research code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"

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higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

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instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

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KoBERT

Korean BERT pre-trained cased (KoBERT)

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L2T-ww

Learning What and Where to Transfer (ICML 2019)

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Lafite

Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022)

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long-range-arena

Long Range Arena for Benchmarking Efficient Transformers

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MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

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Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

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nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

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nvdiffrec

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

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releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

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relu_edge_subdivision

Code for the ICML 2023 paper Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision.

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sglkt-visdial

🌈 PyTorch Implementation for EMNLP'21 Findings "Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer"

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tiny-cuda-nn

Lightning fast C++/CUDA neural network framework

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torch-batch-svd

A batched version SVD of PyTorch implemented by cuSolver

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VL-T5

PyTorch code for "Unifying Vision-and-Language Tasks via Text Generation" (ICML 2021)

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