dwromero / ckconv
Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/2102.02611
☆119Updated 2 years ago
Alternatives and similar repositories for ckconv:
Users that are interested in ckconv are comparing it to the libraries listed below
- ☆164Updated last year
- Sequence Modeling with Structured State Spaces☆61Updated 2 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆115Updated 2 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- Transformers with doubly stochastic attention☆44Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated 8 months ago
- ☆67Updated 2 years ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆69Updated 2 years ago
- Differentiable Optimizers with Perturbations in Pytorch☆64Updated 3 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆82Updated 11 months ago
- ☆146Updated 2 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆115Updated 3 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆121Updated last year
- Experiments for Neural Flows paper☆92Updated 3 years ago
- ☆171Updated 7 months ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆286Updated 3 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆164Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- Gaussian-Bernoulli Restricted Boltzmann Machines☆101Updated 2 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- Convex potential flows☆81Updated 3 years ago
- A minimalist implementation of score-based diffusion model☆122Updated 3 years ago
- ☆62Updated 11 months ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆97Updated last year
- Neural Diffusion Processes☆76Updated 5 months ago
- A Pytorch Implementation of Attentive Neural Process☆72Updated 5 years ago
- Implementation of Flow++ in PyTorch☆41Updated 5 years ago