willGuimont / learnable_fourier_positional_encodingLinks
Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
☆56Updated 10 months ago
Alternatives and similar repositories for learnable_fourier_positional_encoding
Users that are interested in learnable_fourier_positional_encoding are comparing it to the libraries listed below
Sorting:
- Differentiable Top-k Classification Learning☆85Updated 2 years ago
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆29Updated 4 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆116Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- A simple cross attention that updates both the source and target in one step☆176Updated 3 weeks ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆100Updated this week
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated 2 years ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆102Updated this week
- Package for working with hypernetworks in PyTorch.☆129Updated last year
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs…☆183Updated 3 months ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆116Updated 2 years ago
- Transformers w/o Attention, based fully on MLPs☆94Updated last year
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆125Updated last year
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆60Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆64Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆61Updated 3 years ago
- ☆156Updated 2 years ago
- Graph neural network message passing reframed as a Transformer with local attention☆69Updated 2 years ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆76Updated 2 years ago
- PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS☆31Updated 5 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆138Updated 5 months ago
- Transformers with doubly stochastic attention☆47Updated 2 years ago
- A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…☆78Updated last year
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Papers and Codes for the deep learning in hyperbolic space☆180Updated 3 years ago
- Differentiable Optimizers with Perturbations in Pytorch☆68Updated 4 years ago
- Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).☆31Updated 3 years ago