Chanran Kim (seriousran)

seriousran

Geek Repo

Company:SK Telecom

Location:Seoul

Home Page:https://www.linkedin.com/in/chanran-kim/

Twitter:@_chanrankim

Github PK Tool:Github PK Tool


Organizations
AI-Trolls
cushcush
dignipy
Just-Kaggle
NVIDIAGameWorks
Pseudo-Lab
pseudolab
sv-project

Chanran Kim's repositories

awesome-qa

😎 A curated list of the Question Answering (QA)

specAugment

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

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Deep3DFaceReconstruction

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

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Dev-Event

🎉🎈 개발자 {웨비나, 컨퍼런스, 해커톤} 행사를 알려드립니다. [with 남송리 삼번지]

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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onnx2torch

Convert ONNX models to PyTorch.

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pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

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4D-Facial-Avatars

Dynamic Neural Radiance Fields for Monocular 4D Facial Avater Reconstruction

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ai-healthcare-companies

대한민국에 존재하는 인공지능 헬스케어 회사 목록

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aiohttp

Asynchronous HTTP client/server framework for asyncio and Python

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AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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CLAP

Contrastive Language-Audio Pretraining

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e4s

(CVPR 2023) E4S: Fine-grained Face Swapping via Regional GAN Inversion

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face-smoothing

OpenCV implementation of facial smoothing. Facial detection is done using an pretrained TensorFlow face detection model.

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face-vid2vid

Unofficial implementation of One-Shot Free-View Neural Talking Head Synthesis

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giraffe

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

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keras-applications

Reference implementations of popular deep learning models.

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PIRender

The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering"

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pseudolab.github.io

가짜연구소 블로그

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scikit-learn

scikit-learn: machine learning in Python

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stable-diffusion-videos

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

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tf_mesh_renderer

A differentiable, 3D mesh renderer using TensorFlow.

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transformers

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

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