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🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A curated list of awesome anomaly detection resources
:books: A collection of edge/contour/boundary detection papers and toolbox.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
List of Computer Science courses with video lectures.
Deep Image Matting implementation in PyTorch
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Learn how to responsibly develop, deploy and maintain production machine learning applications.
This is the repository for the ManufacturingNet project.
Masterthesis on the topic of error/anomaly detection in 3D printing of metal structures. The Proceedings Paper and CNN only part can be found here: https://github.com/Ay-De/SLM-CNN.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
This repository includes codes and description corresponding to the paper entitled, "Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal Imaging Data and Machine Learning".
Learn how to design, develop, deploy and maintain an end-to-end ML application at scale.
Code repository corresponding to the "Deep Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing" paper.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Source code, CNN model and examples for the proceedings paper: CNN based powder bed monitoring and anomaly detection for the selective laser melting process
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
Generic U-Net Tensorflow implementation for image segmentation
Code implementation of the paper "Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning".
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.