Semi Supervised Learning Python Packages

alibi-detect

Algorithms for outlier, adversarial and drift detection

bio-embeddings-tape-proteins

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

otx

Build computer vision models in a fraction of the time and with less data.

adbench

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

tape-proteins

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

accelbrainbeat

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.

rul-datasets

A collection of datasets for RUL estimation as Lightning Data Modules.

susi

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

pysummarization

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.

modssc

ModSSC: A Modular Framework for Semi Supervised Classification

getitune

Build computer vision models in a fraction of the time and with less data.

semilearn

Unfied Semi-Supervised Learning Benchmark

pytorch-partial-tagger

Sequence Tagger for Partially Annotated Dataset in PyTorch

dualstudent-asr

Semi-supervised learning with Dual Student for automatic speech recognition

hypergbm

A full pipeline AutoML tool integrated various GBM models

pyqlearning

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.

keras-unsupervised

Keras framework for unsupervised learning

accel-brain-base

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.

disc

A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

pydbm

`pydbm` is Python library for building Restricted Boltzmann Machine(RBM), Deep Boltzmann Machine(DBM), Long Short-Term Memory Recurrent Temporal Restricted Boltzmann Machine(LSTM-RTRBM), and Shape Boltzmann Machine(Shape-BM). From the view points of functionally equivalents and structural expansions, this library also prototypes many variants such as Encoder/Decoder based on LSTM, Convolutional Auto-Encoder, and Spatio-temporal Auto-Encoder.

torchwisdom

High level API for training deep learning model in PyTorch

constrained-linkage

Hierarchical agglomerative clustering with soft constraints (SciPy-compatible Z).

ezr

Explanation system for semi-supervised multi-objective optimization

sslearn

A Python package for semi-supervised learning with scikit-learn