aliutkus / torchinterp1dLinks
1D interpolation for pytorch
☆172Updated last year
Alternatives and similar repositories for torchinterp1d
Users that are interested in torchinterp1d are comparing it to the libraries listed below
Sorting:
- Interpolation routines in Pytorch.☆110Updated 4 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆108Updated 6 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆254Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Official Code for Invertible Residual Networks☆528Updated 11 months ago
- PyTorch implementation of Sinusodial Representation networks (SIREN)☆264Updated 2 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- NumPy-style histograms in PyTorch☆54Updated last year
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated last year
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆234Updated 4 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆121Updated 2 years ago
- Code for Neural Spline Flows paper☆276Updated 5 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- Unofficial complex tensor and scalar support for Pytorch☆79Updated 2 years ago
- Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.☆501Updated last year
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 4 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Adaptive Gradient Clipping☆136Updated 2 years ago
- ☆21Updated 5 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆38Updated 3 years ago
- A python/pytorch package for invertible neural networks☆65Updated 2 years ago
- A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"☆74Updated 5 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year