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deep-learning-notes

Experiments with Deep Learning

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

doit_pandas

examples_cmake

CMake 사용법 정리

exp2022_12

expert양성과정 2022년 12차

generative_deep_learning_2nd_edition

<만들면서 배우는 생성 AI 2판>의 코드 저장소

handson-ml2

핸즈온 머신러닝 2/E의 주피터 노트북

hello_tf_c_api

Neural Network TensorFlow C API

inpainting-gmcnn-keras

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

keraspp

코딩셰프의 3분 딥러닝, 케라스맛

learn-airline-delays

Learn Python Data Analytics By Example: Airline Arrival Delays

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

led

[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model

lightning

mixedprecision

models

Models and examples built with TensorFlow

nlp-with-transformers

<트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.

noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

oreilly-learning-tensorflow

pconv-keras

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

pro

ratsnlp

tools for Natural Language Processing

repo

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

samsung-ai-2022

Samsung AI 전문가 과정 (2022 Summer)

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-cmake

Integrate TensorFlow with CMake projects effortlessly

tensorflow-for-deep-learning-research

tensorspace

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js