by Zainul Abideen | Jul 10, 2025
Introduction to Pyro Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. It enables developers to create complex probabilistic models with ease, making it a powerful tool for machine learning and statistical inference. Main Features...
by Zainul Abideen | Jul 10, 2025
Introduction to NumPyro NumPyro is a probabilistic programming library that leverages the power of JAX for scalable and flexible Bayesian modeling. It provides a simple and intuitive interface for building complex probabilistic models, making it an essential tool for...
by Zainul Abideen | Jul 10, 2025
Introduction to TensorFlow Probability TensorFlow Probability (TFP) is a powerful library that extends TensorFlow to enable probabilistic reasoning and statistical analysis. This blog post focuses on the turnkey MCMC sampling feature, which simplifies the process of...
by Zainul Abideen | Jul 10, 2025
Introduction to Causal-Learn Causal-Learn is an innovative Python package designed for causal discovery, implementing both classical and cutting-edge algorithms. This project is a translation and extension of the renowned Tetrad framework, making it accessible for...
by Zainul Abideen | Jul 10, 2025
Introduction to Open3D-ML Open3D-ML is an open-source library designed for 3D machine learning tasks, providing a robust framework for both Semantic Segmentation and Object Detection. Built on top of the Open3D library, it enables developers to create and train...
