pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
A Python implementation of global optimization with gaussian processes.
Model interpretability and understanding for PyTorch
Python package for Bayesian Machine Learning with scikit-learn API
3 captures since 2026-05-22