gradhep / neosLinks
Upstream optimisation for downstream inference
☆70Updated last week
Alternatives and similar repositories for neos
Users that are interested in neos are comparing it to the libraries listed below
Sorting:
- Machine learning–based inference toolkit for particle physics☆86Updated last year
- Tutorial Code for MLHEP pyprob☆18Updated 2 years ago
- Plugin for MadGraph5_aMC allowing for output Matrix Elements in a TensorFlow-friendly format☆11Updated 9 months ago
- Provides differentiable versions of common HEP operations and objectives.☆25Updated 2 years ago
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Updated 6 years ago
- Things that make me feel productive☆15Updated 3 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Plot with matplotlib using ATLAS style☆12Updated 5 years ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- pure-Python HistFactory implementation with tensors and autodiff☆291Updated this week
- Documentation:☆125Updated 2 years ago
- LUMIN - a deep learning and data science ecosystem for high-energy physics.☆48Updated last year
- madjax☆14Updated last year
- Probabilistic Programming and Nested sampling in JAX☆212Updated 3 weeks ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 2 months ago
- design and steer profile likelihood fits☆33Updated 2 months ago
- Repository for the paper "Learning to Pivot with Adversarial Networks"☆35Updated 6 years ago
- A differentiable cosmology library in JAX☆218Updated 5 months ago
- ☆16Updated 3 years ago
- Template for talks in remark+KaTeX.☆25Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 6 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Fast, lightweight and parallelised simulation-based inference in JAX.☆22Updated last month
- Gaussian Mixture Models in Jax☆23Updated 4 months ago
- Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.☆16Updated 7 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Excursion Set Estimation☆22Updated 4 years ago
- Stencil computations in JAX☆71Updated 3 weeks ago
- A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control…☆45Updated 8 months ago
- Meeting repo for likelihood free inference meeting☆14Updated 3 years ago