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Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
A curated list of references for MLOps
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Best Practices, code samples, and documentation for Computer Vision.
Official implementation of Character Region Awareness for Text Detection (CRAFT)
書籍「つくりながら学ぶ!深層強化学習」のサポートリポジトリです
Deep Learning Examples
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Unofficial pytorch Version of Deep Reverse Tone Mapping (SIGGRAPH ASIA'2017)
[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
Transformer-based image captioning extension for pytorch/fairseq
GPT-3: Language Models are Few-Shot Learners
HDR image reconstruction from a single exposure using deep CNNs
Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/
Kindling the Darkness: a Practical Low-light Image Enhancer
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
Mask R-CNN for object detection and instance segmentation on Pytorch
Code for “MBLLEN: Low-light Image/Video Enhancement Using CNNs”, BMVC 2018.
Demonstrate samples and good engineering practice for operationalizing machine learning solutions.
OpenMMLab Image and Video Editing Toolbox
OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper
PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)
Building a GUI tool to find the right parameters visually and quickly, for various Computer Vision algorithms
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
PFRL: a PyTorch-based deep reinforcement learning library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.