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ai

ai를 이용한 스마트 플렛폼 개발자 수업내용

axolotl_llm

Go ahead and axolotl questions

char-rnn-lstm

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

clover_project

clover_project

cnn_drowsiness_driving

졸음운전 방지 및 예방 알림 프로젝트

colorinsight

Provide personalized color recommendation using face detection, segmentation and image classification model

darc

Decentralized Autonomous Regulated Company (DARC), a company virtual machine that runs on any EVM-compatible blockchain, with on-chain law system, multi-level tokens and dividends mechanism.

deeplearningproject

dlib

A toolkit for making real world machine learning and data analysis applications in C++

face_model

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

facer

Face analysis tools for modern research, equipped with state-of-the-art Face Parsing and Face Alignment

hanium_drow_face

Sleeping Alert Using Raspberry pie

llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

llama3

The official Meta Llama 3 GitHub site

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

lucky

lucky

mind_spore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

new-home

personal

personal

personal_id

Image Classification을 이용한 퍼스널컬러 예측

showmethecolor

Personal color diagnosis

smarthome_iot

Atmega128에서 온·습도, 미세먼지를 측정해 어플로 전송, 출력해주는 프로그램(라즈베리파이 참조)

spring-blog-v2-step6-deploy

swe-bench-llm_model-

[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

yazi

💥 Blazing fast terminal file manager written in Rust, based on async I/O.

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov9_total

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information