MLEveryday / 100-Days-Of-ML-Code

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 Feb 18, 2020
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 Jul 1, 2020

yzhao062 / pyod

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A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

python data-science machine-learning data-mining deep-learning python3 neural-networks outliers autoencoder data-analysis outlier-detection anomaly python2 unsupervised-learning fraud-detection anomaly-detection outlier-ensembles

Updated Jul 10, 2020
Python

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 Jul 14, 2020
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 Jul 3, 2020
Scheme

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

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 Jul 9, 2020
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 Jul 17, 2020

HyperGAN / HyperGAN

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Composable GAN framework with api and user interface

python machine-learning computer-vision tensorflow artificial-intelligence generative-adversarial-network gan machine-learning-api unsupervised-learning online-learning

Updated Jul 17, 2020
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 Jul 14, 2020
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cgnorthcutt / cleanlab

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Find label errors in datasets, weak supervision, and learning with noisy labels.

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

Updated Apr 23, 2020
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
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benedekrozemberczki / karateclub

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A general purpose community detection and network embedding library for research built on NetworkX.

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 Jul 17, 2020
Python

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

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 Jul 17, 2020
Python

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 11, 2020
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 Mar 30, 2020
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 Feb 17, 2018
Lua

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 Jun 19, 2020
Python

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

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 Jul 18, 2020
Python

benedekrozemberczki / graph2vec

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

machine-learning kernel line word2vec deepwalk matrix-factorization 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 May 31, 2020
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 Sep 3, 2018
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 Jul 3, 2020
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DenisTome / Lifting-from-the-Deep-release

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Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

deep-learning convolutional-neural-networks human-pose-estimation unsupervised-learning mixture-model ppca 2d-human-pose 3d-human-pose

Updated Mar 24, 2020
Python

saic-mdal / HiDT

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Official repository for the paper High-Resolution Daytime Translation Without Domain Labels (CVPR2020, Oral)

deep-learning image-processing image-editing generative-adversarial-network gan style-transfer image-generation high-resolution unsupervised-learning computational-photography image-to-image-translation

Updated Jul 17, 2020
Jupyter Notebook

JiawangBian / SC-SfMLearner-Release

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Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

unsupervised-learning pose-estimation depth-estimation visual-odometry

Updated Jun 21, 2020
Python

gregversteeg / corex_topic

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Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

python machine-learning information-theory topic-modeling unsupervised-learning

Updated May 22, 2020
Python

Atcold / pytorch-CortexNet

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PyTorch implementation of the CortexNet predictive model

video deep-learning pytorch predictive-modeling unsupervised-learning self-supervised

Updated Nov 28, 2018
Jupyter Notebook

unsupervised-learning

Here are 1,241 public repositories matching this topic...

MLEveryday / 100-Days-Of-ML-Code

afshinea / stanford-cs-229-machine-learning

owainlewis / awesome-artificial-intelligence

yzhao062 / pyod

rasbt / mlxtend

opencog / opencog

tinghuiz / SfMLearner

benedekrozemberczki / awesome-community-detection

artix41 / awesome-transfer-learning

HyperGAN / HyperGAN

google-research / simclr

cgnorthcutt / cleanlab

carpedm20 / DiscoGAN-pytorch

benedekrozemberczki / karateclub

yunjey / domain-transfer-network

voxelmorph / voxelmorph

open-mmlab / OpenSelfSup

altosaar / variational-autoencoder

pathak22 / context-encoder

elliottwu / unsup3d

hollobit / All-About-the-GAN

JustGlowing / minisom

benedekrozemberczki / graph2vec

zhirongw / lemniscate.pytorch

sthalles / SimCLR

DenisTome / Lifting-from-the-Deep-release

saic-mdal / HiDT

JiawangBian / SC-SfMLearner-Release

gregversteeg / corex_topic

Atcold / pytorch-CortexNet

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