SangHo Kim's repositories
DeepLearning-Tutorial
Introduction to Python and Neural Network with Keras and PyTorch for beginners
Segmentation
Image Segmentation Paper Review and Implementation
ADAI_challenge
Implement a model of real-time semantic segmentation for autonomous driving
blindover_AI
Build AI model to classify beverages for blind individuals
Flooming-DeepLearning
Implement deep learning model used pytorch for serving
AutoAWQ
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
Classification
Implement image classficiation model
DLFromScratch2
『밑바닥부터 시작하는 딥러닝 ❷』
Generative-AI
Paper Reiview and Implementation of Generative AI
moai-challenge
Chest CT에서의 인공지능 기반 자동 Body morphometry 측정
Self-Supervised-Learning
Review and Implement Paper of Self-supervised learning
Vision-Transformer
Implementation of a Paper related to Vision Transformer
LLM-Adapters
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Multi-Modal-Learning
review and implementation of papers related to multi-modal learning
nlp-with-pytorch
<파이토치로 배우는 자연어 처리>(한빛미디어, 2021)의 소스 코드를 위한 저장소입니다.
Object-Detection
Object Detection Paper Review and Implementation
object-detection-imbalance
Lists the papers related to imbalance problems in object detection [TPAMI]
open-llms
📋 A list of open LLMs available for commercial use.
pytorch-loss-metric
Loss functions and Metrics for Detection and Segmentation tasks built with PyTorch
PyTorch-ONNX-TFLite
Conversion of PyTorch Models into TFLite
Quantization
Quantify the tflite for model compression
sulsul-backend
share your best pairings to everyone
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
tuning_playbook_ko
딥러닝 모델의 성능을 체계적으로 극대화하기 위한 플레이북
yolov7_varifocal
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors