jmclong / random-fourier-features-pytorchView external linksLinks
Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
☆110Updated this week
Alternatives and similar repositories for random-fourier-features-pytorch
Users that are interested in random-fourier-features-pytorch are comparing it to the libraries listed below
Sorting:
- Pytorch implementation and comparison of Fourier Feature Networks and Sinusoidal Representation Networks☆13Jun 27, 2020Updated 5 years ago
- A deep manifold learning framework for 4D cryo-EM data processing for simultaneous determination of high-resolution structures and dynami…☆18Sep 12, 2022Updated 3 years ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Jan 22, 2024Updated 2 years ago
- [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".☆64Jun 27, 2024Updated last year
- Differentiable Spline Approximations☆14Sep 3, 2023Updated 2 years ago
- ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation. AAAI, 2025☆13Aug 25, 2025Updated 5 months ago
- Python implementation of A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI paper☆12Oct 19, 2025Updated 3 months ago
- ☆11May 12, 2023Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆72Feb 7, 2023Updated 3 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆68Jan 1, 2025Updated last year
- Official Pytorch implementation for "AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild…☆12Jun 26, 2025Updated 7 months ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Jul 14, 2020Updated 5 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆82Jul 23, 2024Updated last year
- ☆12Jan 9, 2024Updated 2 years ago
- This is the official code implementation of Bongard-OpenWorld (ICLR 2024).☆14Jan 6, 2025Updated last year
- Learning ReLU INRs with B-spline wavelets.☆14Jun 5, 2024Updated last year
- VAE for image reconstruction☆13Apr 11, 2021Updated 4 years ago
- [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wan…☆52Dec 1, 2022Updated 3 years ago
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆55Sep 30, 2024Updated last year
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Apr 13, 2024Updated last year
- ☆14May 12, 2022Updated 3 years ago
- Public release of Ptolemy package for automated targeting of Cryo-EM grids☆18Mar 9, 2025Updated 11 months ago
- Code for Canonical 3D Deformable Mapping (C3DM) paper☆19Sep 19, 2021Updated 4 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆58Dec 21, 2020Updated 5 years ago
- A fast sampling and analysis tool for biomolecules☆16Jan 20, 2025Updated last year
- "DACL: Learning a Domain-Agnostic Contrastive Representation for Dense Prediction beyond Distribution Gap" (arXiv)☆16Mar 13, 2023Updated 2 years ago
- ☆19Sep 23, 2022Updated 3 years ago
- [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".☆39Nov 1, 2022Updated 3 years ago
- P2DFlow: A Protein Ensemble Generative Model with SE(3) Flow Matching☆44May 22, 2025Updated 8 months ago
- Compressing weather and climate data into neural networks☆17May 19, 2024Updated last year
- ☆16Jan 10, 2022Updated 4 years ago
- An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》☆67Jul 22, 2020Updated 5 years ago
- PyTorch implementation of paper "UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images", ICCV 2019☆43Nov 25, 2025Updated 2 months ago
- ☆23Oct 11, 2024Updated last year
- Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023☆46Dec 6, 2023Updated 2 years ago
- ☆22Jun 10, 2024Updated last year
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Dec 10, 2021Updated 4 years ago
- Code Release for WACV 2024 , "SSP: Semi-signed prioritized neural fitting for surface reconstruction from unoriented point clouds"☆26Jan 8, 2024Updated 2 years ago
- ☆100Jul 23, 2024Updated last year