119 Open source projects that are alternatives of or similar to collective-classification-weka-package

JCLAL is a general purpose framework developed in Java for Active Learning.

Invariant representation learning from imaging and spectral data

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & Machine Learning

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Reproduce some methods in semi-supervised papers.

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

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

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

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

A WEKA package for analyzing emotion and sentiment of tweets.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)

Weka with spring example

🎀 A data mining suite for gene expression data.

Semi-supervised GAN in "Improved Techniques for Training GANs"

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

A curated collection of adversarial attack and defense on graph data.

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

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

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)

Python 2.7 wrapper for Weka using javabridge.

TensorFlow implementation for "Guided Optical Flow Learning"

Keras implementation of temporal ensembling(semi-supervised learning)

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training

Deep Metric Transfer for Label Propagation with Limited Annotated Data

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Python codes for weakly-supervised learning

Joint Semi-supervised Learning of Image Registration and Segmentation

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Active learning for deep object detection using YOLO

A question answering system which utilises machine learning.

Example code for the python-weka-wrapper3 project.

supervised and semi-supervised image classification with self-supervision (Keras)

Example code for the python-weka-wrapper project.

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

Python 3 wrapper for Weka using python-javabridge.

Tensorflow implementation of Adversarial Autoencoders

Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

VOSK Speech Recognition Toolkit

Benchmarks for semi-supervised domain generalization.

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Semisupervided LDA for theory-driven text analysis

Semi-supervised Learning GAN

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.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.