dongpil seo (dongpil)

dongpil

Geek Repo

Company:Global AI Platform

Location:Dangmok-ri

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dongpil seo's repositories

accelerate

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

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autonlp

🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically

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awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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BentoML

Model Serving Made Easy

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bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

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CRAFT-Reimplementation

CRAFT-Pyotorch:Character Region Awareness for Text Detection Reimplementation for Pytorch

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cs231n.github.io

Public facing notes page

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Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

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dongpil.github.io

dongpil.github.io

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dotfiles-public

My personal dotfiles

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etcd

Distributed reliable key-value store for the most critical data of a distributed system

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fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

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go

The Go programming language

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gobusybox

Tools for compiling many Go commands into one binary to save space. Builds are supported in vendor-based Go, module-based Go, and bazel with Starlark.

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katacoda-scenarios

Katacoda Scenarios

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KoSpeech

Open Source Project for Korean End-to-End (E2E) Automatic Speech Recognition (ASR) in Pytorch for Deep Learning Researchers

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kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.

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llama.cpp

Port of Facebook's LLaMA model in C/C++

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myvim

vim configurations

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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orca

LLM Orchestrator built in Rust

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serve

Model Serving on PyTorch

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SimpleHTR

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

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speech-to-text-benchmark

speech to text benchmark framework

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T101

Terraform Study files

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transformers

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

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website

Kubeflow's public website

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yona

Project Hosting SW, DEMO:

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