jmschrei/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Fast, flexible and easy to use probabilistic modelling in Python.
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
A python library for user-friendly forecasting and anomaly detection on time series.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Scalable toolkit for efficient model reinforcement
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-R1, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
1 capture since 2026-05-25