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unsupervised-learning

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MLEveryday / 100-Days-Of-ML-Code

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100-Days-Of-ML-Code中文版

python machine-learning tutorial deep-learning tensorflow keras jupyter-notebook supervised-learning unsupervised-learning chinese-simplified infographics 100-days-of-ml-code

Updated Aug 11, 2021
Jupyter Notebook

afshinea / stanford-cs-229-machine-learning

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VIP cheatsheets for Stanford's CS 229 Machine Learning

data-science machine-learning deep-learning cheatsheet supervised-learning unsupervised-learning cs229 ml-cheatsheet

Updated May 20, 2020

owainlewis / awesome-artificial-intelligence

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A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

machine-learning reinforcement-learning ai deep-learning neural-network statistical-learning artificial-intelligence unsupervised-learning intelligent-systems machine-intelligence intelligent-machines

Updated Sep 9, 2021

yzhao062 / pyod

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Open

Cannot save AutoEncoder

6

kennysong commented Dec 6, 2020

The official instructions say to use joblib for pickling PyOD models.

This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:

>>> dump(model, 'model.joblib')
...
TypeError: can't pickle _thread.RLock objects

Note that it's not sufficient to save the underlying Keras S

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bug help wanted good first issue

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function generate_data

2

Open

callbacks in autoencoder

4

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rasbt / mlxtend

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A library of extension and helper modules for Python's data analysis and machine learning libraries.

python data-science machine-learning data-mining supervised-learning unsupervised-learning association-rules

Updated Sep 2, 2021
Python

google-research / simclr

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SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

computer-vision representation-learning unsupervised-learning self-supervised-learning simclr contrastive-learning simclrv2

Updated Aug 25, 2021
Jupyter Notebook

cleanlab / cleanlab

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The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.

machine-learning machine-learning-algorithms weak-supervision semi-supervised-learning unsupervised-learning data-cleaning clean-data learning-with-confident-examples noisy-data data-centric confident-learning latent-estimation robust-machine-learning learning-with-noisy-labels

Updated Jun 6, 2021
Python

opencog / opencog

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A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

learning robotics natural-language agi learning-algorithm unsupervised-learning robot-controller unsupervised-learning-algorithms natural-language-inference natural-language-understanding unsupervised-machine-learning

Updated Sep 1, 2021
Scheme

Separius / awesome-sentence-embedding

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A curated list of pretrained sentence and word embedding models

nlp awesome encoder paper natural-language word-embeddings evaluation awesome-list pretrained-models unsupervised-learning embedding-models language-model bert embedded-models cross-lingual wordembedding encoders sentence-embeddings pretrained-embedding sentence-representations contextualized-representation vector-map pooling-methods pretrained-language-model subword-models

Updated Apr 23, 2021
Python

awesome-community-detection

benedekrozemberczki / awesome-community-detection

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A curated list of community detection research papers with implementations.

data-science machine-learning deep-learning social-network clustering community-detection network-science deepwalk matrix-factorization networkx dimensionality-reduction factorization network-analysis unsupervised-learning igraph embedding graph-clustering node2vec network-clustering bigclam

Updated Sep 4, 2021
Python

tinghuiz / SfMLearner

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An unsupervised learning framework for depth and ego-motion estimation from monocular videos

deep-learning unsupervised-learning visual-odometry depth-prediction self-supervised-learning

Updated Sep 7, 2019
Jupyter Notebook

open-mmlab / OpenSelfSup

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Self-Supervised Learning Toolbox and Benchmark

pytorch unsupervised-learning moco self-supervised-learning simclr deepcluster onlinedeepcluster

Updated Jul 29, 2021
Python

artix41 / awesome-transfer-learning

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Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

paper awesome-list transfer-learning unsupervised-learning domain-adaptation

Updated Sep 3, 2021

karateclub

benedekrozemberczki / karateclub

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Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

machine-learning sklearn community-detection network-science deepwalk networkx supervised-learning louvain unsupervised-learning network-embedding scikit label-propagation gcn graph-clustering node2vec networkx-graph graph-embedding graph2vec node-embedding 2vec

Updated Sep 10, 2021
Python

voxelmorph / voxelmorph

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Unsupervised Learning for Image Registration

machine-learning deep-learning diffeomorphism optical-flow unsupervised-learning probabilistic image-registration image-alignment

Updated Sep 15, 2021
Python

HyperGAN / HyperGAN

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Composable GAN framework with api and user interface

python machine-learning computer-vision sponsors pytorch artificial-intelligence generative-adversarial-network gan machine-learning-api unsupervised-learning online-learning hypergan

Updated Sep 3, 2021
Python

sthalles / SimCLR

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PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

machine-learning deep-learning pytorch representation-learning unsupervised-learning contrastive-loss torchvision pytorch-implementation simclr

Updated Mar 16, 2021
Jupyter Notebook

elliottwu / unsup3d

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(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

unsupervised pytorch unsupervised-learning 3d cvpr 3d-objects 3d-reconstuction cvpr2020 cvpr-2020

Updated Aug 31, 2021
Python

carpedm20 / DiscoGAN-pytorch

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PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

pytorch gan generative-model unsupervised-learning

Updated Mar 26, 2018
Jupyter Notebook

JustGlowing / minisom

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🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

machine-learning clustering som neural-networks dimensionality-reduction outlier-detection unsupervised-learning manifold-learning self-organizing-map vector-quantization

Updated Sep 16, 2021
Python

altosaar / variational-autoencoder

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Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks

Updated Jun 2, 2021
Python

SeldonIO / alibi-detect

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Open

Simplify tensorflow model types

arnaudvl commented May 6, 2021

tf.keras.Sequential is an instance of tf.keras.Model so could be left out across types in alibi-detect.

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good first issue Priority: Low Type: Maintenance

Open

Factor out backend (eg PyTorch, TensorFlow) validation.

3

Open

Check type hints of base classes

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yunjey / domain-transfer-network

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TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

tensorflow domain-transfer image-generation unsupervised-learning

Updated Jun 6, 2018
Python

Unsupervised-Classification

wvangansbeke / Unsupervised-Classification

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SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

clustering image-classification representation-learning unsupervised-learning moco self-supervised-learning simclr eccv2020 eccv-2020 contrastive-learning

Updated Aug 13, 2021
Python

pathak22 / context-encoder

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[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

machine-learning computer-vision deep-learning computer-graphics generative-adversarial-network gan dcgan unsupervised-learning image-inpainting context-encoders

Updated Jul 19, 2020
Lua

graph2vec

benedekrozemberczki / graph2vec

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A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

machine-learning kernel word2vec deepwalk matrix-factorization transformer unsupervised-learning graph-kernel node2vec weisfeiler-lehman noise-contrastive-estimation graph-embedding graph2vec subgraph2vec graph-wavelet node-embedding struc2vec implicit-matrix-factorization diff2vec gemsec

Updated Sep 8, 2021
Python

athena-team / athena

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an open-source implementation of sequence-to-sequence based speech processing engine

deployment tensorflow tts speech-synthesis transformer speech-recognition sequence-to-sequence unsupervised-learning speaker-recognition asr ctc wfst

Updated Jul 6, 2021
Python

All-About-the-GAN

hollobit / All-About-the-GAN

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All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

deep-learning neural-network tensorflow paper detection pytorch medical-imaging generative-adversarial-network gan classification segmentation arxiv reconstruction unsupervised-learning adversarial-networks adversarial-nets cgan image-synthesis ct-denoising medical-image-synthesis

Updated Oct 3, 2018
Python

zhirongw / lemniscate.pytorch

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Unsupervised Feature Learning via Non-parametric Instance Discrimination

computer-vision deep-learning pytorch imagenet representation-learning unsupervised-learning nce cvpr2018 self-supervised-learning

Updated Mar 25, 2021
Python

auspicious3000 / autovc

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AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

speech-synthesis unsupervised-learning voice-conversion generative-models wavenet-vocoder tacotron-pytorch

Updated Aug 7, 2021
Python

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