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sbibm Public
Forked from sbi-benchmark/sbibmSimulation-based inference benchmark
Python MIT License UpdatedSep 23, 2025 -
LLaDA Public
Forked from ML-GSAI/LLaDAOfficial PyTorch implementation for "Large Language Diffusion Models"
Python MIT License UpdatedFeb 26, 2025 -
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suq-nlg Public
Forked from meta-inf/suq-nlgCode for the paper "On Subjective Uncertainty Quantification and Calibration in Natural Language Generation".
Python MIT License UpdatedOct 18, 2024 -
llm.c Public
Forked from karpathy/llm.cLLM training in simple, raw C/CUDA
Cuda MIT License UpdatedOct 2, 2024 -
build-nanogpt Public
Forked from karpathy/build-nanogptVideo+code lecture on building nanoGPT from scratch
Python UpdatedAug 13, 2024 -
botied Public
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
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fast-forward Public
The stochastic forward problem using Bayesian neural networks
Jupyter Notebook MIT License UpdatedMar 18, 2024 -
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gauche Public
Forked from leojklarner/gaucheA Library for Gaussian Processes in Chemistry
Jupyter Notebook MIT License UpdatedJan 2, 2024 -
Differentiable Bayesian copula fitting
MIT License UpdatedAug 18, 2023 -
pyvinecopulib Public
Forked from vinecopulib/pyvinecopulibA Python library for vine copula models
C++ MIT License UpdatedMay 11, 2023 -
node-to-joy Public
Modeling the external convergence from photometric catalogs
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Copulas Public
Forked from sdv-dev/CopulasA library to model multivariate data using copulas.
Python Other UpdatedJan 21, 2023 -
magnify Public
Inferring black hole properties from learned representations of multi-filter AGN light curves
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EmbeddedLMC Public
Forked from mahaa2/EmbeddedLMCJulia GNU Affero General Public License v3.0 UpdatedJan 30, 2022 -
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torchsde Public
Forked from google-research/torchsdeDifferentiable SDE solvers with GPU support and efficient sensitivity analysis.
Python Apache License 2.0 UpdatedJul 26, 2021 -
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deep-learning-notebooks Public
Tutorials in various concepts related to deep learning
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baobab Public
Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks
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