dpernes / deepsets-digitsumLinks
Sum of handwritten digits using Deep Sets, implemented in PyTorch.
☆21Updated 6 years ago
Alternatives and similar repositories for deepsets-digitsum
Users that are interested in deepsets-digitsum are comparing it to the libraries listed below
Sorting:
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆84Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆105Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆66Updated 6 months ago
- Code for Graph Normalizing Flows.☆63Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆73Updated 3 years ago
- Experiments for Neural Flows paper☆97Updated 3 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆56Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆57Updated 4 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆41Updated 3 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆24Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆85Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 10 months ago
- ☆26Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- [ICLR 2022] Path integral sampler☆50Updated last year
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- ☆38Updated 5 years ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆22Updated 3 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆101Updated 9 months ago