Generative Probabilistic Novelty Detection with Adversarial Autoencoders
☆130Dec 7, 2020Updated 5 years ago
Alternatives and similar repositories for GPND
Users that are interested in GPND are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Dec 8, 2022Updated 3 years ago
- ☆14Jul 2, 2019Updated 6 years ago
- Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each…☆15May 18, 2015Updated 10 years ago
- Latent space autoregression for novelty detection.☆198Dec 12, 2022Updated 3 years ago
- ☆42May 20, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Collection of machine learning research paper references☆26Feb 23, 2025Updated last year
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆53Apr 7, 2020Updated 5 years ago
- A lightweight experimental logging library☆52Dec 23, 2025Updated 3 months ago
- Estimating Example Difficulty using Variance of Gradients☆64Jan 10, 2023Updated 3 years ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Aug 19, 2019Updated 6 years ago
- A library for evaluating representations.☆77Nov 21, 2021Updated 4 years ago
- ☆50Oct 13, 2022Updated 3 years ago
- A pytorch implementation of Progressive-GAN that is actually works, readable and simple to customize☆85Mar 12, 2022Updated 4 years ago
- ☆91Nov 15, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Semi-supervised learning via Compact Latent Space Clustering☆50Jun 6, 2019Updated 6 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆80Oct 7, 2019Updated 6 years ago
- ☆112Aug 6, 2024Updated last year
- A PyTorch implementation of SSCR☆23Aug 12, 2024Updated last year
- Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)☆123May 30, 2019Updated 6 years ago
- Density-preserving data visualization tools den-SNE and densMAP☆117Apr 27, 2021Updated 4 years ago
- BiGAN implementation in Keras to detect similarities in Landscapes.☆173Jul 26, 2019Updated 6 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆106Dec 19, 2022Updated 3 years ago
- [CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".☆136Nov 22, 2022Updated 3 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Character-Preserving Coherent Story Visualization, ECCV 2020☆42Mar 12, 2021Updated 5 years ago
- Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.☆80Feb 16, 2021Updated 5 years ago
- Graph Neural Network☆44Oct 21, 2021Updated 4 years ago
- Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…☆53Jul 7, 2020Updated 5 years ago
- A simple and effective method for single-class classification of images☆160Nov 29, 2021Updated 4 years ago
- Exploring Random Encoders for Sentence Classification☆183Mar 6, 2020Updated 6 years ago
- A Python library for mathematical optimization☆141Sep 27, 2024Updated last year
- PyTorch Implementation of OpenAI GPT☆128Jun 28, 2023Updated 2 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆184May 2, 2019Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Books, papers and links to latest research in ML/AI☆93Jul 8, 2024Updated last year
- Code for Neural Spline Flows paper☆285Oct 19, 2025Updated 5 months ago
- Materials for the practical sessions at EEML2019☆79Jul 1, 2020Updated 5 years ago
- Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies☆109Mar 25, 2023Updated 3 years ago
- Code and Data for ACL 2020 paper "Few-Shot NLG with Pre-Trained Language Model"☆190May 23, 2025Updated 10 months ago
- Deep learning course CE7454, 2020☆29Oct 21, 2020Updated 5 years ago
- Example codes for the book Applied Stochastic Differential Equations☆207Oct 27, 2025Updated 5 months ago