SangHo Kim (Sangh0)

Sangh0

Geek Repo

Company:kakaohealthcare

Location:Pangyo, Republic of Korea

Home Page:www.linkedin.com/in/sanghokim33

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Organizations
AITE-R
BlindOver

SangHo Kim's repositories

DeepLearning-Tutorial

Introduction to Python and Neural Network with Keras and PyTorch for beginners

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Segmentation

Image Segmentation Paper Review and Implementation

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ADAI_challenge

Implement a model of real-time semantic segmentation for autonomous driving

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blindover_AI

Build AI model to classify beverages for blind individuals

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Flooming-DeepLearning

Implement deep learning model used pytorch for serving

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AutoAWQ

AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:

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Classification

Implement image classficiation model

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DLFromScratch2

『밑바닥부터 시작하는 딥러닝 ❷』

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Generative-AI

Paper Reiview and Implementation of Generative AI

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moai-challenge

Chest CT에서의 인공지능 기반 자동 Body morphometry 측정

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Self-Supervised-Learning

Review and Implement Paper of Self-supervised learning

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Vision-Transformer

Implementation of a Paper related to Vision Transformer

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LLM-Adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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Multi-Modal-Learning

review and implementation of papers related to multi-modal learning

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nlp-with-pytorch

<파이토치로 배우는 자연어 처리>(한빛미디어, 2021)의 소스 코드를 위한 저장소입니다.

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Object-Detection

Object Detection Paper Review and Implementation

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object-detection-imbalance

Lists the papers related to imbalance problems in object detection [TPAMI]

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open-llms

📋 A list of open LLMs available for commercial use.

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pytorch-loss-metric

Loss functions and Metrics for Detection and Segmentation tasks built with PyTorch

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PyTorch-ONNX-TFLite

Conversion of PyTorch Models into TFLite

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Quantization

Quantify the tflite for model compression

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sulsul-backend

share your best pairings to everyone

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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tuning_playbook_ko

딥러닝 모델의 성능을 체계적으로 극대화하기 위한 플레이북

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yolov7_varifocal

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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