TorchDR / TorchDR
TorchDR - PyTorch Dimensionality Reduction
☆96Updated last month
Alternatives and similar repositories for TorchDR:
Users that are interested in TorchDR are comparing it to the libraries listed below
- Diffusion models in PyTorch☆97Updated this week
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆48Updated 2 weeks ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆107Updated this week
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- Graph neural networks in JAX.☆67Updated 9 months ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆122Updated last year
- Contrastive neighbor embeddings☆53Updated 2 weeks ago
- Lightning-like training API for JAX with Flax☆38Updated 3 months ago
- ☆52Updated 5 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆49Updated 7 months ago
- TabDPT: Scaling Tabular Foundation Models☆26Updated last week
- Quantification of Uncertainty with Adversarial Models☆28Updated last year
- Deep Networks Grok All the Time and Here is Why☆30Updated 10 months ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆27Updated 3 weeks ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆17Updated 4 months ago
- Euclidean Wasserstein-2 optimal transportation☆46Updated last year
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last year
- ☆149Updated 7 months ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆32Updated 4 months ago
- Simple (and cheap!) neural network uncertainty estimation☆61Updated last month
- Official Jax Implementation of MD4 Masked Diffusion Models☆67Updated 3 weeks ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- Agustinus' very opiniated publication-ready plotting library☆62Updated last month
- Source code for the paper "Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning"☆14Updated last month
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- PhD Thesis☆31Updated last year
- ☆146Updated last year