Pytorch implementation of Center Loss
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Feb 19, 2023 - Python
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feature-learning
Here are 46 public repositories matching this topic...
[ICCV 2025] PartField: Learning 3D Feature Fields for Part Segmentation and Beyond
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Jul 16, 2025 - Python
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
machine-learning computer-vision deep-learning video-processing unsupervised-learning feature-learning video-segmentation motion-segmentation
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Apr 25, 2019 - Lua
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
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Oct 27, 2025 - C++
Experiments on unsupervised point cloud reconstruction.
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Jun 11, 2022 - Python
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
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Nov 11, 2020 - Python
A simple Tensorflow based library for deep and/or denoising AutoEncoder.
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Apr 7, 2018 - Python
Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.
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Apr 2, 2023 - Python
OhmNet: Representation learning in multi-layer graphs
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Aug 12, 2020 - Python
Temporal-spatial Feature Learning of DCE-MR Images via 3DCNN
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May 19, 2019 - Python
Feature learning over RDF data and OWL ontologies
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Aug 17, 2022 - Python
Deep Co-occurrence Feature Learning for Visual Object Recognition (CVPR 2017)
recognition computer-vision image-recognition object-recognition feature-learning co-occurence cvpr-2017
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May 15, 2017 - MATLAB
Code for paper "Learning Semantically Enhanced Feature for Fine-grained Image Classification"
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Aug 30, 2020 - Python
Online feature-extraction and classification algorithm that learns representations of input patterns.
machine-learning compression feature-detection pattern pattern-classification threshold artificial-intelligence feature-extraction classification dimensionality-reduction pattern-recognition feature-learning online-learning competitive-learning
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Feb 26, 2017 - C++
Easy-to-read implementation of self-supervised learning using vision transformer and knowledge distillation with no labels 😃
knowledge-distillation feature-learning ema dino self-supervised attention-visualization contrastive-learning vision-transformer feature-representation teacher-student-training
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Jun 27, 2023 - Python
[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
spurious-correlations feature-learning domain-generalization out-of-distribution-generalization invariant-learning
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May 27, 2025 - Python
Experiments on point cloud segmentation.
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Jun 11, 2022 - Python
Repository for SEPAL: Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
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Nov 20, 2025 - Python
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Jun 22, 2022 - Jupyter Notebook
A comprehensive deep dive into how Variational Autoencoders (VAEs) learn to generate realistic synthetic tabular data. This project explores latent space learning, probabilistic modeling, and neural creativity, combining data privacy, interpretability, and generative AI techniques in a structured format.
python data-science machine-learning research deep-learning simulation tabular-data statistical-learning pytorch generative-model neural-networks autoencoder vae representation-learning data-privacy feature-learning data-augmentation synthetic-data explainable-ai latent-space
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Nov 10, 2025
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