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SeldonIO
alibi-detect

Algorithms for outlier, adversarial and drift detection

133K 3K 244
open-edge-platform
otx

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

5K 1K 468
chimera0
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.

2K 325 91
Minqi824
adbench

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

2K 1K 151
songlab-cal
tape-proteins

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

2K 739 135
tilman151
rul-datasets

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

2K 64 4
chimera0
pydbm

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.

2K 325 91
microsoft
semilearn

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

1K 2K 217
accel-brain
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.

1K 325 91
accel-brain
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.

983 325 91
yasufumy
pytorch-partial-tagger

Sequence Tagger for Partially Annotated Dataset in PyTorch

904 1 0
felixriese
susi

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

847 116 22
ModSSC
modssc

ModSSC: A Modular Framework for Semi Supervised Classification

833 32 7
songlab-cal
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.

806 739 135
DataCanvasIO
hypergbm

A full pipeline AutoML tool for tabular data

763 363 48
iyhaoo
disc

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

669 10 5
asheswook
visagesnap

Easy-to-Use library to recognize faces, train the model, provide predictions

617 3 0
accel-brain
accel-brain-base

accel-brain-base is a basic library of the Deep Learning for rapid development at low cost. This library makes it possible to design and implement deep learning, which must be configured as a complex system, by combining a plurality of functionally differentiated modules such as a Deep Boltzmann Machines(DBMs), an Auto-Encoder, an Encoder/Decoder based on Long Short-Term Memory(LSTM), a Convolutional Auto-Encoder(CAE), and Transformer.

584 325 91
tonandr
keras-unsupervised

Keras framework for unsupervised learning

513 4 0
accel-brain
pygan

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.

494 325 91
jlgarridol
sslearn

The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.

493 9 3
dpr1005
ssl-dnx

TFG - Semisupervised learning and instance selection methods

493 10 4
YGZWQZD
lamda-ssl

30 Semi-Supervised Learning Algorithms

477 210 16
nunenuh
torchwisdom

High level API for training deep learning model in PyTorch

475 7 3
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