Pytorch implementation of Center Loss

[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web

Experiments on unsupervised point cloud reconstruction.

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

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

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

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

OhmNet: Representation learning in multi-layer graphs

Temporal-spatial Feature Learning of DCE-MR Images via 3DCNN

Feature learning over RDF data and OWL ontologies

Deep Co-occurrence Feature Learning for Visual Object Recognition (CVPR 2017)

Code for paper "Learning Semantically Enhanced Feature for Fine-grained Image Classification"

Online feature-extraction and classification algorithm that learns representations of input patterns.

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

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

Experiments on point cloud segmentation.

A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions

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

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