borchero / pycaveLinks
Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
☆128Updated this week
Alternatives and similar repositories for pycave
Users that are interested in pycave are comparing it to the libraries listed below
Sorting:
- A pytorch package for non-negative matrix factorization.☆241Updated last year
- 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
- ☆124Updated 2 years ago
- ☆148Updated 3 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆84Updated last year
- Implementation and tutorials of normalizing flows with the novel distributions module☆167Updated 5 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆148Updated 6 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- ☆68Updated 2 years ago
- ☆29Updated 3 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆65Updated 3 months ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆288Updated 4 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 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
- A brief tutorial on the Wasserstein auto-encoder☆84Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆84Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Deep Probabilistic Programming Course @ DIKU☆58Updated 5 years ago
- Adaptive Gradient Clipping☆149Updated 3 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆255Updated 2 years ago