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feature-learning

Here are 38 public repositories matching this topic...

eigenvivek / Grad-CAMO

[CVPRW 2024] Learning interpretable single-cell morphological profiles from 3D Cell Painting z-stacks

single-cell feature-learning cell-painting

Updated Jul 26, 2024

LFhase / FeAT

[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization

spurious-correlations feature-learning domain-generalization out-of-distribution-generalization invariant-learning

Updated Jun 19, 2024
Python

DocsaidLab / DocClassifier

A zero-shot document classifier.

python lightning pytorch document-classification clip feature-learning partial-fc

Updated Jun 15, 2024
Python

GabrielFernandezFernandez / SPIVAE

Stochastic processes insights from VAE. Code for the paper: Learning minimal representations of stochastic processes with variational autoencoders.

time-series knowledge-discovery representation-learning feature-learning interpretability variational-autoencoder unsupervised-machine-learning stochastic-models fractional-brownian-motion brownian-motion autoregressive-models anomalous-diffusion single-trajectory-characterization scaled-brownian-motion

Updated Jun 11, 2024
Jupyter Notebook

getml-community

getml / getml-community

Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.

data-science machine-learning ai python-library ml feature-engineering predictive-modeling relational-learning feature-learning mlops

Updated Mar 18, 2024
C

dreizehnutters / pcapAE

convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.

machine-learning pcap network intrusion-detection autoencoder representation-learning feature-learning anomaly-detection

Updated Feb 16, 2024
Jupyter Notebook

zoli333 / Center-Loss

This is an implementation of the Center Loss article (2016).

deep-learning pytorch feature-learning center-loss

Updated Jan 21, 2024
Python

manhph2211 / Self-Supervised-Distillation

Easy-to-read implementation of self-supervised learning using vision transformer and knowledge distillation with no labels - DINO 😃

knowledge-distillation feature-learning ema dino self-supervised attention-visualization contrastive-learning vision-transformer feature-representation teacher-student-training

Updated Jun 27, 2023
Python

AntonioScl / SGD_learning_regimes

Code for reproducing the paper "Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning"

deep-learning feature-learning stochastic-gradient-descent lazy-learning

Updated May 23, 2023
Python

zhulf0804 / GCNet

Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.

registration feature-learning pointcloud

Updated Apr 2, 2023
Python

sjenni / LearningToSpotArtifacts

Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.

machine-learning deep-learning tensorflow classification alexnet unsupervised-learning feature-learning compter-vision self-supervised-learning stl-10

Updated Mar 24, 2023
Python

KaiyangZhou / pytorch-center-loss

Pytorch implementation of Center Loss

python computer-vision deep-learning pytorch feature-learning loss-functions center-loss

Updated Feb 19, 2023
Python

lelea2 / kdao

Collections of my personal prototypes for works, hackathon and personal project

prototype feature-learning hackathon-ideas

Updated Jan 12, 2023
JavaScript

bio-ontology-research-group / walking-rdf-and-owl

Feature learning over RDF data and OWL ontologies

machine-learning semantic-web owl classification feature-learning rdf-graph

Updated Aug 17, 2022
Python

bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG

deep-learning autoencoder eeg-signals feature-learning epileptic-seizures

Updated Jun 22, 2022
Jupyter Notebook

antao97 / PointCloudSegmentation

Experiments on point cloud segmentation.

point-cloud segmentation unsupervised-learning feature-learning

Updated Jun 11, 2022
Python

antao97 / UnsupervisedPointCloudReconstruction

Experiments on unsupervised point cloud reconstruction.

point-cloud pytorch unsupervised-learning feature-learning auto-encoder

Updated Jun 11, 2022
Python

cocoakang / colmap_multichannel

A modified COLMAP to take as input multi-channel images. It can be used to evaluate the proposed multi-channel feature/descriptor.

feature-learning 3d-reconstruction stereo-vision

Updated Sep 24, 2021
C

EEE17A / DNN-for-NILM

In this project, we've tried applying various DNNs to the problem of non-intrusive load monitoring (NILM) and compared their results for various appliances using the REDD dataset. We took a sliding window approach in hopes that we'll be able to achieve real time disaggregation with further tuning and testing. We compare the disaggregated energy …

deep-learning neural-networks lstm-model nilm energy-disaggregation feature-learning cnn-model energy-consumption load-forecasting load-disaggregation

Updated Jul 28, 2021
Jupyter Notebook

JuanDuGit / DH3D

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

deep-learning point-cloud autonomous-driving feature-learning relocalization

Updated Nov 11, 2020
Python

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