Top 22 semi-supervised-learning Open-Source Projects

• Transfer-Learning-Library

  1 3,150 6.9 Python

  Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  

• uda

  2 2,153 0.0 Python

  Unsupervised Data Augmentation (UDA)

  

• InfluxDB

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• alibi-detect

  9 2,085 7.6 Python

  Algorithms for outlier, adversarial and drift detection

  

Project mention: Exploring Open-Source Alternatives to Landing AI for Robust MLOps | dev.to | 2023-12-13

Numerous tools exist for detecting anomalies in time series data, but Alibi Detect stood out to me, particularly for its capabilities and its compatibility with both TensorFlow and PyTorch backends.

• SSL4MIS

  2 2,001 6.2 Python

  Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

  

• Awesome-Federated-Learning

  0 1,848 0.0

  FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

• ADBench

  1 780 6.9 Python

  Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

• tape

  1 620 0.0 Python

  Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (by songlab-cal)

  

• SaaSHub

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• vosk

  2 354 0.0 C

  VOSK Speech Recognition Toolkit

  

• HugNLP

  2 247 7.3 Python

  HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

• DeFMO

  1 164 1.8 Python

  [CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

• ETCI-2021-Competition-on-Flood-Detection

  1 150 1.8 Jupyter Notebook

  Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

• auto_annotate

  2 148 5.6 Jupyter Notebook

  Labeling is boring. Use this tool to speed up your next object detection project!

• ICT

  1 140 10.0 Python

  Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)

• susi

  1 102 6.5 Python

  SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

• ganbert-pytorch

  1 88 0.0 Jupyter Notebook

  Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

• ProSelfLC-AT

  4 58 1.8 HTML

  noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

• PAWS-TF

  1 43 1.8 Jupyter Notebook

  Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

• Pseudo-Labelling

  1 9 0.0 Jupyter Notebook

  Pseudo Labelling on MNIST dataset in Tensorflow 2.x

• egsis

  3 9 6.8 Jupyter Notebook

  EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation

Project mention: [P] EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation | /r/MachineLearning | 2023-11-27

• perturb-predict-paraphrase

  1 5 0.0 Python

  Implementation of Perturb, Predict & Paraphrase: Semi-supervised Learning using Noisy Student for Image Captioning

  

• MAGIST-Algorithm

  1 5 3.8 Python

  Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

  

• semi-supervised-segmentation-on-graphs

  3 4 0.0 Jupyter Notebook

  Semi supervised segmentation on graphs (images and pointclouds). Using Eikonal equation.

• SaaSHub

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  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

semi-supervised-learning related posts

• Show HN: Simple (but clever) algorithms can find label issues in datasets

  2 projects | news.ycombinator.com | 8 Sep 2022

• [D] In which ML field can I make significant contribution without significant compute?

  1 project | /r/MachineLearning | 3 Sep 2022

• [D] A simple trick to quickly verify data

  1 project | /r/MachineLearning | 29 Aug 2022

• Researchers at Oxford University Propose a Machine Learning Framework Called ‘TriSegNet’ Based on Triple-View Feature Learning for Medical Image Segmentation

  1 project | /r/machinelearningnews | 19 Aug 2022

• [P] Cleanlab Vizzy — learn how to automatically find label errors and out-of-distribution data

  4 projects | /r/MachineLearning | 17 Aug 2022

• Show HN: Cleanlab Vizzy – automatically find label errors and bad data

  1 project | news.ycombinator.com | 17 Aug 2022

• [D] How to deal with badly labelled data?

  1 project | /r/MachineLearning | 7 Jul 2022
• A note from our sponsor - InfluxDB
  www.influxdata.com | 6 May 2024

  Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →

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