Normal Probability Distribution in Python

I wrote speculative decoding in 80 lines of Python and my local LLM became 2.4x faster — 3 design decisions to halve 'wait time' using draft models and verification

"ChatGPT's streaming is smooth, so why is my local LLM so stuttery?" If you run 7B models with Ollama, you've probably thought this at least once. You have spare GPU power. You have free VRAM. Yet, ...

Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

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Python codes for performing life cycle assessment (LCA) scenario analyses, sensitivity analyses, and Monte Carlo analyses, using systems of equations and variable input parameters

Parametric LCA aims to maintain the relationships between different parameters along the life cycle of a system or product, modeling the system with variables and equations that depict these ...

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I wrote speculative decoding in 80 lines of Python and my local LLM became 2.4x faster — 3 design decisions to halve 'wait time' using draft models and verification

Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

Python codes for performing life cycle assessment (LCA) scenario analyses, sensitivity analyses, and Monte Carlo analyses, using systems of equations and variable input parameters

Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

Wasserstein Distance Using C# and Python

An Algorithm for Generating Random Numbers with Normal Distribution ()