neixlo

3DScanner

Automated process of shooting photos and rotate a turntable/lazysusan to get images in a 360°/steps view. A 3D object can then be generated with a photogrammetry tool such as Agisoft PhotoScan/Metashape.

AutoPatch

awesome-production-machine-learning

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

BestPractices

Code Snippets for every day..

CFA_for_anomaly_localization

colabcode

Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deploy-code-server

Deploy code-server to the cloud with a few clicks ☁️ 👨🏼‍💻

DRAEM

glances

Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

model-deployment-tutorials

NLN

Code for paper entitled "Improving Novelty Detection using the Reconstructions of Nearest Neighbours"

norfair

Lightweight Python library for adding real-time 2D object tracking to any detector.

obsidian

Tools for Obsidian notes

OCR-GAN

Source code of "Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection"

OpenVINO-bin

OpenVINO installer storage location (Full version)

PaDiM-Anomaly-Detection-Localization-master

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

PINTO_model_zoo

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin]

PrettyErrors

Prettify Python exception output to make it legible.

pytorch-Deep-Learning

Deep Learning (with PyTorch)

RFS-Energy-Anomaly-Detection-of-Defect

Implemention of the paper "Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework"

scalene

Scalene: a high-performance, high-precision CPU and memory profiler for Python

Simple_PySide_Base

SimpleNet

SINBAD

A method for detecting anomalies consisting of unusual combinations of normal elements using set features

sqlmodel

SQL databases in Python, designed for simplicity, compatibility, and robustness.

Synthetic-data-gen

Various methods for generating synthetic data for data science and ML

uflow

vptm

A visual comparison of vision pre-trained models for transfer learning