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Pyro is a deep probabilistic programming library and differentiable probabilistic modeler designed for Bayesian inference. It functions as a probabilistic programming language that allows for the construction of complex graphical models using PyTorch tensors and automatic differentiation. The framework enables the definition of universal probabilistic models as standard Python functions. It integrates deep learning with probabilistic modeling to compute posterior distributions and estimate latent variables through gradient-based optimization and algorithmic solvers. The system provides a pro
GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process models. It provides a system for Gaussian process modeling and uncertainty estimation, designed to perform efficient matrix operations on graphics hardware. The framework features a modular kernel system for constructing custom covariance functions and modeling complex data dependencies. It specifically integrates Gaussian processes with deep neural networks to create hybrid models for regression and classification. The system employs numerical linear algebra techniques, inclu
TensorLight - A high-level framework for TensorFlow
Hyperparameter Experiments with TensorFlow and Keras
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
The main features of ctallec/pyvarinf are: Deep Learning Ecosystems, Deep Learning Frameworks, Machine Learning Frameworks, Probabilistic and Generative, Probabilistic Modeling, Deep Bayesian Learning and Probabilistic Programmming.
Open-source alternatives to ctallec/pyvarinf include: pyro-ppl/pyro — Pyro is a deep probabilistic programming library and differentiable probabilistic modeler designed for Bayesian… cornellius-gp/gpytorch — GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process… batzner/tensorlm — Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow. catalyst-team/catalyst — Accelerated deep learning R&D. autonomio/talos — Hyperparameter Experiments with TensorFlow and Keras. bsautermeister/tensorlight — TensorLight - A high-level framework for TensorFlow.