hwalsuklee

mmocr. OpenMMLab Text Detection, Recognition and Understanding Toolbox

KLUE. 📖 Korean NLU Benchmark

ml-project-checklist. CSS

KcBERT. 🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋

dmfont. Official PyTorch implementation of DM-Font (ECCV 2020)

Scene-Text-Recognition.

Scene-Text-Detection.

Standalone-DeepLearning. 2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.

EXTD_Pytorch. Official EXTD Pytorch code

TedEval. TedEval: A Fair Evaluation Metric for Scene Text Detectors

CRAFT-pytorch. Official implementation of Character Region Awareness for Text Detection (CRAFT)

Document-Image-Dewarping. Document Image Dewarping

deep-text-recognition-benchmark. Text recognition (optical character recognition) with deep learning methods, ICCV 2019

awesome-deep-text-detection-recognition. A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

deep-learning-drizzle. Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Tutorial-Competition-2018. PyTorch KR Tutorial Competition 2018

PyramidNet-PyTorch. A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

pixel_link. Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

roi-pooling. C++

textspotter. Jupyter Notebook

DEXTR-PyTorch. Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

CCSA. "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

learning_by_association. This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

Augmentor. Image augmentation library in Python for machine learning.

compare_gan. Compare GAN code.

handwriting-synthesis. Handwriting Synthesis with RNNs ✏️

FastPhotoStyle. Style transfer, deep learning, feature transform

Detectron. FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

numpy-neuralnet-exercise. Implementation of key concepts of neuralnetwork via numpy

caffe-tensorflow. Caffe models in TensorFlow

deep-learning-model-convertor. The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

models. Models and examples built with TensorFlow

python3_with_pleasure. A short guide on features of Python 3 with examples

FASText. Efficient Unconstrained Scene Text Detector

Scene-Text-Understanding. OCR, Scene-Text-Understanding, Text Recognition

gradient-checkpointing. Make huge neural nets fit in memory

faster-rcnn.pytorch. A faster pytorch implementation of faster r-cnn

Computer-Vision-Basics-with-Python-Keras-and-OpenCV. Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

face_classification. Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

face_recognition. The world's simplest facial recognition api for Python and the command line

capsule-networks. A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)

pytorch-segmentation-detection. Image Segmentation and Object Detection in Pytorch

Tacotron-pytorch. Pytorch implementation of Tacotron

numerical-linear-algebra. Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

All-About-the-GAN. All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

line-notify. A Simple Wrapper for LINE Messenger Notify

R2CNN_FPN_Tensorflow. R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

Curve-Text-Detector. This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

caffe. Caffe: a fast open framework for deep learning.

SSD_scene_text_detection. Detect text in natural images with SSD, Single Shot Detection

imgaug. Image augmentation for machine learning experiments.

skorch. A scikit-learn compatible neural network library that wraps PyTorch

tf-vqvae. Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

pix2pixHD. Synthesizing and manipulating 2048x1024 images with conditional GANs

deep-head-pose. :fire::fire: Deep Learning Head Pose Estimation using PyTorch.

BicycleGAN. Toward Multimodal Image-to-Image Translation

deep-image-prior. Image restoration with neural networks but without learning.

CapsNet-pytorch. PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

stargan. StarGAN - Official PyTorch Implementation (CVPR 2018)

SSTD. Single Shot Text Detector with Regional Attention

handong1587.github.io. CSS

Awesome-Scene-Text-Recognition. A curated list of resources dedicated to scene text localization and recognition

ssd.pytorch. A PyTorch Implementation of Single Shot MultiBox Detector

awesome-object-proposals. A curated list of object proposals resources for object detection

shinTB. Textboxes : Image Text Detection Model : python package (tensorflow)

Text-Detection-with-FRCN. Text-Detection-using-py-faster-rcnn-framework

deep_complex_networks. Implementation related to the Deep Complex Networks

seglink. Detecting text by linking segments.

DeepTextSpotter. Python

crnn. Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

awesome-semantic-segmentation. :metal: awesome-semantic-segmentation

welcome_tutorials. Various tutorials given for welcoming new students at MILA.

CS231. My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

NAS-Bench-201. NAS-Bench-201 API and Instruction

diracnets. Training Very Deep Neural Networks Without Skip-Connections

progressive_growing_of_gans. Progressive Growing of GANs for Improved Quality, Stability, and Variation

bayesgan. Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

CNN_LSTM_CTC_Tensorflow. CNN+LSTM+CTC based OCR implemented using tensorflow.

cnn_lstm_ctc_ocr. Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

attention-ocr. A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

lstm_ctc_ocr. Use CTC + tensorflow to OCR

ocr-text-extraction. A simple program to extract the text from an image before performing OCR

Deep-Learning-for-OCR. This is a reading list for deep learning for OCR

tensorflow-ocr. 🖺 OCR using tensorflow with attention

Attention-OCR. Visual Attention based OCR

awesome-ocr. A curated list of promising OCR resources

tensorflow-mnist-AAE. Tensorflow implementation of adversarial auto-encoder for MNIST

adv_attack_capsnet. Tensorflow Implementation of Adversarial Attack to Capsule Networks

neural-networks-and-deep-learning. Code samples for my book "Neural Networks and Deep Learning"

deep_architecture_genealogy. Deep Learning Architecture Genealogy Project

Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

tensornets. High level network definitions with pre-trained weights in TensorFlow

talks. Jupyter Notebook

generating_people. Official code repository for the paper "A Generative Model for People in Clothing".

synthetic_gradients_explained. This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube

FastMaskRCNN. Mask RCNN in TensorFlow

ICCV17-fashionGAN. Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence

deepo. Setup and customize deep learning environment in seconds.

DeepLearningFrameworks. Demo of running NNs across different frameworks

luminoth. Deep Learning toolkit for Computer Vision.

cupy. NumPy & SciPy for GPU

tf_texture_net. TensorFlow implementation of DmitryUlyanov/texture_nets

Rewrite. Neural Style Transfer For Chinese Characters

jupyter-themes. Custom Jupyter Notebook Themes

pix2code. pix2code: Generating Code from a Graphical User Interface Screenshot

deep-supervised-hashing-DSH. C++

ALI. Adversarially Learned Inference

rubiks_cube_convnet. How to train a convnet to solve a rubiks cube

PyTorch-FastCampus. PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

style2paints. sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)

eval_gen. Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"

tf-SNDCGAN. Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

Deep-Image-Analogy. The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

mnist-challenge. My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

sepconv-slomo. an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

tensorflow-generative-model-collections. Collection of generative models in Tensorflow

vae-celebA. Variational auto-encoder trained on celebA . All rights reserved.

sketch-parse. Code, demos and data for SketchParse (a neural network for sketch segmentation). Paper:

DeepRecommender. Deep learning for recommender systems

tf.gans-comparison. Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

pytorch-generative-model-collections. Collection of generative models in Pytorch version.

gy_mlcamp17. repository for saving codes during mlcamp jeju17

zi2zi. Learning Chinese Character style with conditional GAN

pytorch-pix2pix. Pytorch implementation of pix2pix for various datasets.

pytorch-CycleGAN. Pytorch implementation of CycleGAN.

GANs. Study Generative Adversarial Networks

fashion-mnist. A MNIST-like fashion product database. Benchmark :point_down:

magan. Tensorflow Implementation for MAGAN: Margin Adaptation for Adversarial Networks

tf-exercise-gan. Tensorflow implementation of different GANs and their comparisions

machine-learning-mindmap. A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

hdrnet_legacy. An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancements', SIGGRAPH 2017

pytorch-MNIST-CelebA-cGAN-cDCGAN. Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

pytorch-MNIST-CelebA-GAN-DCGAN. Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

DRAGAN. A stable algorithm for GAN training

art-DCGAN. Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

Delving-deep-into-GANs. Generative Adversarial Networks (GANs) resources sorted by citations

RCF. Richer Convolutional Features for Edge Detection

deligan. This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

adda. Python

inverse-compositional-STN. Inverse Compositional Spatial Transformer Networks :performing_arts: (CVPR 2017 oral)

pytorch-CycleGAN-and-pix2pix. Image-to-Image Translation in PyTorch

UberNet. Demo for CVPR 2017 paper

DistanceGAN. Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

deepfeatinterp. Deep Feature Interpolation (CVPR 2017)

comics. COMICS data / code / annotations

TDAE. CVPR2017 Face hallucination

Face-Aging-CAAE. Age Progression/Regression by Conditional Adversarial Autoencoder

divcolor. Implementation of "Learning Diverse Image Colorization" CVPR'17

loss-correction. Robust loss functions for deep neural networks (CVPR 2017)

DeepSketchHashing. Deep Sketch Hashing source code

SGAN. Stacked Generative Adversarial Networks

score-zeroshot. Semantically consistent regularizer for zero-shot learning

keras-js. Run Keras models in the browser, with GPU support using WebGL

tensorflow-pix2pix. A lightweight pix2pix Tensorflow implementation.

dlcampjeju. Deep Learning Camp Jeju

Deep-learning-with-cats. Deep learning with cats (^._.^)

GAN-weight-norm. Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

TensorFlow-Book. Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

gae. Implementation of Graph Auto-Encoders in TensorFlow

AdversarialAutoEncoder. Adversarial AutoEncoder implemented with MXNet

gcn. Implementation of Graph Convolutional Networks in TensorFlow

AI-metrics. An open source project to document AI progress through data.

tensor2tensor. Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

rbm-ae-tf. Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.

dsprites-dataset. Dataset to assess the disentanglement properties of unsupervised learning methods

unsup-queries-data. Unsupervised Data Generated for GeoQuery and SAIL Datasets

forward-thinking-pytorch. Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"

ForwardThinking. Forward Thinking NIPS 2017

Activation-Visualization-Histogram. Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

SSGAN-Tensorflow. A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

tensorboard-embedding-visualization. Easily visualize embedding on tensorboard with thumbnail images and labels.

relational-networks. Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

wide-resnet.pytorch. Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

pix2pixBEGAN.pytorch. A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

tensorflow-infogan. :dolls: InfoGAN: Interpretable Representation Learning

PyTrader. System Trading using Kiwoom OpenAPI+

magenta. Magenta: Music and Art Generation with Machine Intelligence

TensorFlowDeepAutoencoder. MNIST Digit Classification Using Stacked Autoencoder And TensorFlow

UFLDL_TensorFlow. Python

Machine_learning. Jupyter Notebook

quickdraw-dataset. Documentation on how to access and use the Quick, Draw! Dataset.

sketch-rnn-datasets. optional extra vector image datasets for sketch-rnn

picasso. :art: A CNN visualizer

tensorflow-deeplab-resnet. DeepLab-ResNet rebuilt in TensorFlow

AdversarialVariationalBayes. This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Autoencoders. Torch implementations of various types of autoencoders

dl-docker. An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

deep-learning-papers. Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

illustration2vec. A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.

hierse. Zero-shot image tagging by hierarchical semantic embedding

how-far-can-we-go-with-MNIST. A collection of codes for 'how far can we go with MNIST' challenge

openpose. OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

WGAN-tensorflow. a tensorflow implementation of WGAN

TF-Tutorials. A collection of deep learning tutorials using Tensorflow and Python

variational-autoencoder. Chainer implementation of Variational AutoEncoder (VAE) M1 / M2 / M1+M2

semisupervised_vae. Replication of Semi-Supervised Learning with Deep Generative Models

tensorflow-mnist-CVAE. Tensorflow implementation of conditional variational auto-encoder for MNIST

awesome-computer-vision. A curated list of awesome computer vision resources

DFC-VAE. Variational Autoencoder trained by Feature Perceputal Loss