pgmpy/pgmpy
Python Toolkit for Causal and Probabilistic Reasoning
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Appears on
Quick read
Latest capture 2026-08-23 03:05
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
8 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture -1
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Python Toolkit for Causal and Probabilistic Reasoning
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
Deep universal probabilistic programming with Python and PyTorch
High-speed Large Language Model Serving for Local Deployment
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.