https://github.com/kaiyangzhou/pytorch-center-loss

Pytorch implementation of Center Loss

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

Last synced: 16 May 2025

https://github.com/KaiyangZhou/pytorch-center-loss

Pytorch implementation of Center Loss

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

Last synced: 08 May 2025

https://github.com/pathak22/unsupervised-video

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

computer-vision deep-learning feature-learning machine-learning motion-segmentation unsupervised-learning video-processing video-segmentation

Last synced: 08 May 2025

https://github.com/antao97/UnsupervisedPointCloudReconstruction

Experiments on unsupervised point cloud reconstruction.

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

Last synced: 20 Mar 2025

https://github.com/JuanDuGit/DH3D

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

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

Last synced: 07 May 2025

https://github.com/sjenni/LearningToSpotArtifacts

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

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

Last synced: 16 Nov 2025

https://github.com/bruaristimunha/re-deep-convolution-neural-network-and-autoencoders-based-unsupervised-feature-learning-of-eeg

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

Last synced: 06 May 2025

https://github.com/dreizehnutters/pcapae

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

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

Last synced: 04 Apr 2026

https://github.com/isadrtdinov/understanding-large-lrs

Source code for NeurIPS-2024 paper "Where Do Large Learning Rates Lead Us"

deep-learning feature-learning learning-rate loss-landscape

Last synced: 15 May 2025

https://github.com/eigenvivek/grad-camo

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

cell-painting feature-learning single-cell

Last synced: 28 Feb 2026

https://github.com/docsaidlab/docclassifier

A zero-shot document classifier.

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

Last synced: 12 Apr 2025

https://github.com/amirhosseinhonardoust/teaching-neural-networks-to-imagine-tables

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.

autoencoder data-augmentation data-privacy data-science deep-learning explainable-ai feature-learning generative-model latent-space machine-learning neural-networks python pytorch representation-learning research simulation statistical-learning synthetic-data tabular-data vae

Last synced: 17 Nov 2025

https://github.com/sedflix/tripletgan.pytorch

Implementation of the paper Training Triplet Networks with GAN

feature-learning gan triplet-loss unsupervised-feature-learning

Last synced: 17 Mar 2026

https://github.com/rishishanthan/vgg16-vs-resnet18-64x64

A deep learning comparison of VGG-16 and ResNet-18 architectures trained from scratch on a 64×64 RGB dataset with 3 object classes. Includes training curves, confusion matrices, and detailed performance metrics.

ai-projects cnn computer-vision deep-learning feature-learning from-scratch image-classification model-comparison pytorch resnet vgg16

Last synced: 18 Apr 2026