ingyuseong Goto Github PK

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

bidi

BiDi: Virtual Hairstyling (simulation) App using GAN

compiler

computer-architecture-risc-v

RISC-V core design using VerilogHDL / KECE343 Computer Architecture

computer-vision-k-means-em

K-means & Gaussian Mixture Model Implementation in C++ / KECE471 Computer Vision

data-structure-bst

Implementation of Linked Lists & Binary Search Tree / KECE208 Data Structures and Algorithms

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

delay_thon

eraserbenchmark

A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/

evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

fid

Fusion-in-Decoder

google-research

Google Research

jav-a-bom

Study Clean Code / Java / Spring

java-baseball-precourse

숫자 야구게임 미션을 진행하는 저장소

likelion_week1

Homework1

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

ml-engineering

Machine Learning Engineering Guides and Tools

nemo

NeMo: a framework for generative AI

os-socket-programming

Multiple Access Chatting Program using Multithread / KECE340 Operating System

project-documents

Repository containing project starter templates

rabbitmq-inference

A message queue based server architecture to asynchronously handle resource-intensive tasks (e.g., ML inference)

rationale-evaluation

A simple script to evaluate generative rationale(explanation)

react-express-boilerplate

Computer Network Assignment

reasonable_consume

💸착한 소비를 도와주는 서비스 by 우리 소비가 착해졌어요🙆

selload

오픈 마켓 통합 업로드 솔루션 Selload

software-defined-network-example

SDN linear, tree topology testing

text-dedup

All-in-one text de-duplication

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

transformers

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