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생산성&도구, 엔터테인먼트, 공유서비스, 여행, 소셜네트워크

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imfreeman1/-300-파이썬 300제 스터디 진행

Jupyter Notebook 100.0%

imfreeman1/Academy.ALZZA교재 연습을 위한 자료를 다운받으실 수 있습니다.

Jupyter Notebook 100.0%

imfreeman1/Bung_Eo_Lip_NetDetect the lip, Recognition sentences and Show Subtitles.

Jupyter Notebook 82.0%Python 17.8%Shell 0.2%

imfreeman1/calculatormake to react

JavaScript 78.6%HTML 13.9%CSS 7.5%

imfreeman1/CanRunningLipNet_in_phython3.6.9

Python 96.0%Shell 4.0%

imfreeman1/chat-back

JavaScript 100.0%

imfreeman1/chat-front

CSS 46.4%JavaScript 44.3%HTML 9.3%

imfreeman1/copy-webHTMLCSS

HTML 73.7%CSS 26.3%

imfreeman1/crawler

TypeScript 66.1%JavaScript 31.1%CSS 2.7%

imfreeman1/CStudy

C 100.0%

imfreeman1/diary-frontdiary-front

JavaScript 97.0%CSS 3.0%

imfreeman1/espnetEnd-to-End Speech Processing Toolkit

Python 51.4%Shell 45.8%Perl 1.9%MATLAB 0.7%CMake 0.1%M 0.1%Makefile 0.1%Dockerfile 0.1%Cython 0.0%

imfreeman1/face-alignment:fire: 2D and 3D Face alignment library build using pytorch

Python 98.7%Dockerfile 1.3%

imfreeman1/first-repository

imfreeman1/frontend

TypeScript 94.2%JavaScript 3.1%CSS 2.7%

imfreeman1/gdg-boss-selling-squadGDG상사 <신입사원 모집중!> : https://festa.io/events/5520

Java 47.5%TypeScript 25.0%JavaScript 13.3%Kotlin 10.1%CSS 2.9%Makefile 0.7%HTML 0.6%

imfreeman1/gitTestgithub 협업 테스트 레포지토리입니다.

imfreeman1/GoingDeeper-

Jupyter Notebook 100.0%

imfreeman1/GRIDcorpus-experimentsMy experiments with lip reading using GRIDcorpus dataset

Python 100.0%

imfreeman1/hahahahaNIA 한국어 립리딩 영상 Labeling 작업

Python 100.0%

imfreeman1/helpdocker

imfreeman1/HRNet-Facial-Landmark-Detection-ForkThis is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

Python 100.0%

imfreeman1/HRNet_updated

Python 100.0%

imfreeman1/HTMLCSS

HTML 97.6%Python 2.4%

imfreeman1/imfreeman1Config files for my GitHub profile.

imfreeman1/koreanLipNet

Python 98.8%Shell 1.2%

imfreeman1/LipNet_runningHow to run Lipnet project

Jupyter Notebook 81.7%Python 18.1%Shell 0.2%

imfreeman1/LipNet_to_python3python3 환경에서 작동하도록 수정한 LipNet입니다.

Python 99.4%Shell 0.6%

imfreeman1/Lipreading_using_Temporal_Convolutional_NetworksICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks

Python 100.0%

imfreeman1/mask-detectionCOVID-19 Mask Detection from Faces using CNN

Jupyter Notebook 99.8%Python 0.2%

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