aalmodovares / DeCaFlowLinks
This repository provides an implementation of DeCaFlow, designed for ease of integration and usability. The codebase is clean, concise, and suitable for both research and practical applications.
☆20Updated 3 months ago
Alternatives and similar repositories for DeCaFlow
Users that are interested in DeCaFlow are comparing it to the libraries listed below
Sorting:
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆224Updated 9 months ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Signax: Signature computation in JAX☆33Updated 6 months ago
- Public dataset repository for the Causal Chamber Project☆42Updated last month
- ☆51Updated last year
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆24Updated 2 years ago
- ☆151Updated 2 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆54Updated last year
- Laplace approximations for Deep Learning.☆515Updated 3 months ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆19Updated 5 months ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆55Updated last year
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆47Updated 2 weeks ago
- Bayesian active learning with EPIG data acquisition☆34Updated 3 months ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆133Updated 3 years ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆415Updated 3 weeks ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆66Updated 6 months ago
- Conformal prediction for time-series applications.☆117Updated last year
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆223Updated last year
- Normalizing flows in PyTorch☆401Updated 2 months ago
- PyTorch implementation of bayesian neural network [torchbnn]☆538Updated last year
- MPhil Machine Learning and Machine Intelligence @ University of Cambridge☆49Updated 6 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆59Updated 5 months ago
- ☆63Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆443Updated 2 years ago
- CSuite: A Suite of Benchmark Datasets for Causality☆72Updated 2 years ago
- Conformalized Quantile Regression☆283Updated 3 years ago