luckystarufo / SIREN_out_of_sample_testsLinks
A quick test of SIREN on out-of-sample tasks
☆13Updated 5 years ago
Alternatives and similar repositories for SIREN_out_of_sample_tests
Users that are interested in SIREN_out_of_sample_tests are comparing it to the libraries listed below
Sorting:
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 4 years ago
- ☆89Updated last year
- The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.☆81Updated 5 years ago
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆68Updated 2 years ago
- ☆73Updated 2 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆69Updated 3 years ago
- Backpropagation-Friendly-Eigendecomposition☆73Updated 5 years ago
- Implicit^2: Implicit model for implicit neural representations☆29Updated 3 years ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆96Updated 4 years ago
- Source code of "A structured dictionary perspective on implicit neural representations"☆60Updated 3 years ago
- Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.☆22Updated 2 years ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- ☆79Updated 4 years ago
- ☆62Updated 2 years ago
- PyTorch implementation of the Hessian-free optimizer☆36Updated last year
- Polynomial Neural Fields for Subband Decomposition and Manipulation☆58Updated 2 years ago
- FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks☆36Updated 6 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago
- Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].☆27Updated last year
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆100Updated last week
- Code for Point-Calibrated Spectral Neural Operators☆21Updated 11 months ago
- An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》☆67Updated 5 years ago
- ☆12Updated 6 months ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆76Updated 2 years ago
- ☆16Updated 2 years ago
- PyTorch implementation of SoftFlow☆58Updated 5 years ago
- ☆41Updated 2 years ago
- Official PyTorch implementation of the ICML 2023 paper "Adaptive IMLE for Few-shot Pretraining-free Generative Modelling "☆16Updated 7 months ago
- Pytorch Custom CUDA kernel for searchsorted☆137Updated last year