sangh0 Goto Github PK

adai_challenge

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

autoawq

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

blindover_ai

Build AI model to classify beverages for blind individuals

classification

Implement image classficiation model

deeplearning-tutorial

Introduction to Neural Network with Keras and PyTorch for beginners

dlfromscratch2

『밑바닥부터 시작하는 딥러닝 ❷』

flooming-deeplearning

Implement deep learning model used pytorch for serving

generative-ai

Paper Reiview and Implementation of Generative AI

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.

moai-challenge

Chest CT에서의 인공지능 기반 자동 Body morphometry 측정

multi-modal-learning

review and implementation of papers related to multi-modal learning

mypython

nlp

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

recommender-system

sangh0

segmentation

Image Segmentation Paper Review and Implementation

self-supervised-learning

Review and Implement Paper of Self-supervised learning

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

vision-transformer

Implementation of a Paper related to Vision Transformer

yolov7_varifocal

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