115 Open source projects that are alternatives of or similar to one-shot-steel-surfaces

OneShot Learning-based hotword detection.

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Identifying forged signatures using convolutional siamese networks implemented in Keras

Finetuning any DNN for better embedding on neural search tasks

FSL-Mate: A collection of resources for few-shot learning (FSL).

One-Shot Learning with Triplet CNNs in Pytorch

Experiment with "one-shot learning" techniques to recognize a voice signature

A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]

Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks

awesome few shot / meta learning papers

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

A toolkit for QC and visualization of ATAC-seq results.

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

medical image visualization library and development toolkit

This package is no longer under active development. We recommend using Lighthouse CI. CLI tool for running Google’s Lighthouse checks

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

Implementation of Domain Adaption in One-Shot Learning

libmpv based application for quality control of videos

A Quality Control (QC) pipeline for Proteomics (PTX) results generated by MaxQuant

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

A cross-platform system service which provides a simple way to run and manage factory line validation, developer inner-loop, diagnostics, and fault analysis workflows.

LibFewShot: A Comprehensive Library for Few-shot Learning.

Free and Open Source Enterprise Resource Planning (ERP)

🚦 Run Picard on BAM files and collate 90 metrics into one file.

pytorch implementation of the TwinBert paper

Nanopore data analysis in R

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Pathogen-Host Analysis Tool - A modern Next-Generation Sequencing (NGS) analysis platform

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Data Science in Manufacturing 製造資料科學

Quality control tool on metagenomic and metatranscriptomic sequencing data, especially data from microbiome experiments.

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

ggQC

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

IoT Agent for OPC UA protocol

Real-time monitoring of Firefox release health

Awesome Few-shot learning

A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases.

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Frappe application to manage the manufacturing workflows in the garment industry. Reach us out at [email protected]

Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

uzERP - Open Source Business Management

Learning To Compare For Text , Few shot learning in text classification

Autodesk Forge application demonstrating various use cases in manufacturing, specifically in context of digital twins.

Keras and Tensorflow implementation of Siamese Recurrent Architectures for Learning Sentence Similarity

Dragon Armor 3D-printable CAD files (Autodesk Fusion 360)

Dialogue Knowledge Transfer Networks (DiKTNet)

Callable Cancer Loci - assessment of sequencing coverage for actionable and pathogenic loci in cancer

Static Analyzer for Java Code with Machine Learning in Mind

Determine a schedule for running a set of jobs.

Reporting and exchange format for mass spectrometry quality control data

One-shot learning for image classification using Siamese neural networks

Find logos in images and videos in just one-shot. Never be embarrassed again to say that you have a small data situation!

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

One-Shot Object Appearance Learning using Spiking Neural Networks

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.