An effective algorithm for training a quadratic network
☆13Jun 3, 2022Updated 3 years ago
Alternatives and similar repositories for ReLinear
Users that are interested in ReLinear are comparing it to the libraries listed below
Sorting:
- Quadratic Autoencoder based on new types of neurons and its application in low-dose CT☆20Dec 3, 2020Updated 5 years ago
- ☆13May 21, 2025Updated 10 months ago
- Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two differen…☆13Nov 5, 2018Updated 7 years ago
- This repository contains the code for the paper "Percolation of temporal hierarchical mobility networks during COVID-19".☆15Nov 13, 2024Updated last year
- Sparse Canonical Correlation Analysis (sCCA)☆20Dec 3, 2021Updated 4 years ago
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Apr 11, 2017Updated 8 years ago
- This code is for our ICML 2020 paper "On the Number of Linear Regions of Convolutional Neural Networks."☆13Aug 5, 2020Updated 5 years ago
- ☆36Mar 27, 2024Updated last year
- A Python package that uses task-based neurons to build neural networks.☆222Aug 26, 2025Updated 6 months ago
- A fast, scalable and deterministic camera calibration library for aerial photography based photogrammetry☆30Updated this week
- Noise2Sim is a general unsupervised deep denoising method.☆56Jan 6, 2022Updated 4 years ago
- ☆122Aug 27, 2024Updated last year
- Neuro-Symbolic AI Toolkit☆114Sep 17, 2025Updated 6 months ago
- Learn how to visualize your own image data or features on Tensorboard Embedding Visualizer☆99Jul 11, 2021Updated 4 years ago
- The official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions.☆159Sep 21, 2022Updated 3 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Dec 15, 2021Updated 4 years ago
- A Python package to use FPGA development tools programmatically.☆146Mar 22, 2025Updated 11 months ago
- IROS2023 Paper List☆135Oct 9, 2023Updated 2 years ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆27Jun 17, 2023Updated 2 years ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆28Oct 18, 2021Updated 4 years ago
- Tracing the most recent advances in Physics Informedd LLMs.☆38Sep 8, 2024Updated last year
- ☆12Aug 22, 2025Updated 7 months ago
- ☆34Dec 12, 2022Updated 3 years ago
- Official implementation of "Low-dose CT Denoising with Language-engaged Dual-space Alignment"☆14Mar 18, 2025Updated last year
- Global Rhythm Style Transfer Without Text Transcriptions☆285Oct 23, 2024Updated last year
- labs and exercises for EECE.6540 Heterogeneous Computing at UMass Lowell☆13Jun 13, 2023Updated 2 years ago
- Competitive Physics Informed Networks☆32Sep 21, 2024Updated last year
- DRONE focus on reconstructing good images from CT scanner with 60 views of fan-beam geometry.☆11May 5, 2021Updated 4 years ago
- code for DMDD: Diffusion Models on Dual Domains for Sparse-view CT Reconstruction☆18Jul 21, 2023Updated 2 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Oct 2, 2023Updated 2 years ago
- ☆30Jun 7, 2018Updated 7 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 2 months ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- [WIP] Playing Hard Exploration Games by Watching YouTube (Aytar et al., 2018)☆12Jan 31, 2019Updated 7 years ago
- Code for WACV 2023 paper "Out-of-distribution Detection via Frequency-regularized Generative Models" by Mu Cai and Yixuan Li☆11May 1, 2023Updated 2 years ago
- 深度学习之神经网络核心原理与算法-课程学习相关代码☆12Aug 18, 2018Updated 7 years ago
- Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)☆14Nov 25, 2024Updated last year