264 Open source projects that are alternatives of or similar to Monoculardepth Inference

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

Paper List for Style Transfer in Text

👨‍🎨️ Generate novel artistic images in Node.js

POT : Python Optimal Transport

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

Repository of the paper "Generalizing Person Re-Identification by Camera-Aware Instance Learning and Cross-Domain Mixup"

✏️ Neural Style Transfer: A Review

Four landmark detection algorithms, implemented in PyTorch.

Library of transfer learners and domain-adaptive classifiers.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

Data-parallel image stylization using Caffe.

tensorflow implementation of 'Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer'

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Arbitrary style transfer using TensorFlow.js

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

Transfer-Learning-Library

A PyTorch Detectron codebase for domain adaptation of object detectors.

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

Attention-aware Multi-stroke Style Transfer (CVPR2019)

Domain-Adversarial Neural Network in Tensorflow

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

Neural Paiters

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

Meta learning with BERT as a learner

FrostNet: Towards Quantization-Aware Network Architecture Search

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

self-supervised domain adaptation

ImageNet-R(endition) and DeepAugment

[WACV'21] Deep Preset: Blending and Retouching Photos with Color Style Transfer

Neural Style and MSG-Net

Implementation of "Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation".

Style Transfer - Alia Bhatt (Google Colab)

Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

🎨 Artistic neural style transfer with tweaks (pytorch).

[SIGGRAPH Asia 2019] Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Neural Style and MSG-Net

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Deep Transfer Learning Papers

Fast Example-based Image Synthesis and Style Transfer

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

🖼 Create artwork from your casual sketch with GAN and style transfer

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Neural network parametrized objective to disentangle and transfer style and content in text

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation