NeighborhoodCoding
동네코딩은 다국의 다양하고 좋은 코딩 아티클을 소개하며, 한글과 영어로 번역하여 실행가능한 예제코드와 함께 깃헙과 미디엄에서 제공합니다. Neighborhood coding introduces a variety of good coding articles by ENG and KOR.
Seoul
Pinned Repositories
006975
케라스 창시자에게 배우는 딥러닝
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
alembic
⚗️ A Jekyll boilerplate theme designed to be a starting point for any Jekyll website
AMR-WB_extractor
Extracts AMR / AMR-WB frames from RTP inside PCAP files and builds a .amr file that complies with the storage format in RFC4867
Applied-Deep-Learning-with-Keras
Deep Learning examples with Keras.
audio-SNR
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
BVQA_Benchmark
A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets.
clean-evs
evs codec written by clean c99
conv3d-video-action-recognition
My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves results similar to those reported by authors
CRNN
Convolutional recurrent neural network for scene text recognition or OCR in Keras
NeighborhoodCoding's Repositories
NeighborhoodCoding/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
NeighborhoodCoding/alembic
⚗️ A Jekyll boilerplate theme designed to be a starting point for any Jekyll website
NeighborhoodCoding/BVQA_Benchmark
A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets.
NeighborhoodCoding/CRNN
Convolutional recurrent neural network for scene text recognition or OCR in Keras
NeighborhoodCoding/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
NeighborhoodCoding/easydict
Access dict values as attributes (works recursively)
NeighborhoodCoding/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
NeighborhoodCoding/flutter_realtime_detection
Real-time detection demo for Flutter tflite plugin
NeighborhoodCoding/flutter_tflite
Flutter plugin for TensorFlow Lite
NeighborhoodCoding/forty-jekyll-theme
A Jekyll version of the "Forty" theme by HTML5 UP.
NeighborhoodCoding/Image-quality-assessment
Attempt to implement no reference image quality assessment app. :rocket:
NeighborhoodCoding/keras-ocr
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
NeighborhoodCoding/keras-retinanet
Keras implementation of RetinaNet object detection.
NeighborhoodCoding/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
NeighborhoodCoding/koniq
KonIQ-10k Deep Learning Models
NeighborhoodCoding/koniq-PyTorch
A Pytorch implementation of No-Reference Image Quality Assessment (NR-IQA) models trained on the KonIQ-10k dataset
NeighborhoodCoding/neighborhoodcoding.github.io
Flexible-Jekyll is a simple and clean theme for Jekyll
NeighborhoodCoding/NISQA
NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
NeighborhoodCoding/Protfolio-Website-Flutter-Web
NeighborhoodCoding/pytorch_model_summary
NeighborhoodCoding/PyVideoComm
PyVideoComm is basic start code that makes sending and receiving video in two programs(or two PCs) very easily by Python.
NeighborhoodCoding/screen-recorder
A python GUI for recording your screen
NeighborhoodCoding/ScreenRecordTile
A quick settings tile to quickly record screen.
NeighborhoodCoding/SungmanHong
NeighborhoodCoding/super-mario-neat
This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
NeighborhoodCoding/Super-Mario-RL
🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
NeighborhoodCoding/test1
NeighborhoodCoding/vidaug
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
NeighborhoodCoding/vmaf
Perceptual video quality assessment based on multi-method fusion.
NeighborhoodCoding/worktest1
A port of the Airspace theme by ThemeFisher to Jekyll.