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annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cs-video-courses

List of Computer Science courses with video lectures.

deep-image-matting-pytorch

Deep Image Matting implementation in PyTorch

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

manufacturingnet

This is the repository for the ManufacturingNet project.

masterthesis_slm-cnn

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.

medicaldetectiontoolkit

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.

ml-lpbf-am

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".

mlops-course

Learn how to design, develop, deploy and maintain an end-to-end ML application at scale.

porosity-generation

Code repository corresponding to the "Deep Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing" paper.

powder-bed-monitoring-using-semantic-image-segmentation

segment-anything

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.

slm-cnn

Source code, CNN model and examples for the proceedings paper: CNN based powder bed monitoring and anomaly detection for the selective laser melting process

surface-defect-detection

📈 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.

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

thermalcontrollpbf-drl

Code implementation of the paper "Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning".