PyTorch Implementation of Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
☆18Jan 18, 2018Updated 8 years ago
Alternatives and similar repositories for Style-Transfer-Adaptive-Instance-Normalization
Users that are interested in Style-Transfer-Adaptive-Instance-Normalization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- UTS Person-reID Practical By Zhedong Zheng☆18Sep 6, 2018Updated 7 years ago
- Cython wrappers for Google's sparsehash library, and the murmur hash functions☆17Jul 24, 2014Updated 12 years ago
- PyTorch implementation of https://arxiv.org/abs/1711.02536☆12Jan 11, 2018Updated 8 years ago
- Reference implementation of a two-level RCN model☆11Nov 3, 2017Updated 8 years ago
- Data Science for Petroleum Engineering - Part 5: "Transforming Excel well raw data into datasets."☆12Aug 24, 2017Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Multi-Graph Multi-Label Learning☆11May 30, 2018Updated 8 years ago
- An R-Software package for multi-variate spatio-temporal modelling☆12Sep 15, 2022Updated 3 years ago
- (TIP'18) An Embarrassingly Simple Approach to Visual Domain Adaptation☆12Aug 7, 2018Updated 8 years ago
- Semantic Connectivity-Driven Pseudo-labeling for Cross-domain Segmentation☆16Dec 12, 2023Updated 2 years ago
- Code to accompany the paper "Learning Grimaces By Watching TV" and FaceValue dataset☆12Aug 4, 2018Updated 8 years ago
- Deep Learning Examples☆13Oct 31, 2019Updated 6 years ago
- QtLocation学习及天地图 插件☆14Sep 12, 2024Updated last year
- Anomaly Screening Applying Pseudowells (ASAP). FORCE Hackathon, Stavanger 18-19 September 2018.☆10Jan 11, 2019Updated 7 years ago
- ☆11Sep 17, 2018Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"☆12Jun 2, 2017Updated 9 years ago
- ☆10May 4, 2023Updated 3 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆76Mar 29, 2018Updated 8 years ago
- Coupling a generative adversarial network with image quilting to produce basin-scale realizations of fluvial stratigraphy.☆10Feb 10, 2020Updated 6 years ago
- Variational Reinforcement Learning☆18Jul 25, 2024Updated 2 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/18…☆16Sep 11, 2018Updated 7 years ago
- CVPR2017 Face hallucination☆14Oct 26, 2017Updated 8 years ago
- Learn to Synthesize and Synthesize to Learn☆14Sep 3, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Codebase for the paper "Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning"☆17Jul 12, 2021Updated 5 years ago
- Animation of a water ripple effect over a selectable image using Qt Widgets☆16May 18, 2019Updated 7 years ago
- Unified benchmarking framework for time series forecasting, comparing traditional and foundation models with automated pipelines and isol…☆16Updated this week
- ☆12Oct 3, 2018Updated 7 years ago
- Code Release for the CVPR 2020 (oral) paper, "Towards Inheritable Models for Open-set Domain Adaptation".☆11Jul 2, 2020Updated 6 years ago
- ☆16Aug 1, 2017Updated 9 years ago
- This is a tensorflow implementation of 2018 NIPS paper: [GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.…