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amidsttoolbox.com
A Java Toolbox for Scalable Probabilistic Machine Learning.
arize.com
MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
github.com
(Microsoft) — Multi-agent conversation framework. Agents collaborate, code, and debate to solve problems. CC-BY-4.0.
github.com
A Julia package for probability distributions and associated functions.
edwardlib.org
A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.
github.com
A Scala library for constructing probabilistic models.
github.com
"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".
libra.cs.uoregon.edu
Algorithms for learning and inference with discrete probabilistic models.
machinelearningmastery.com
About helping professional programmers confidently apply machine learning algorithms to address complex problems.
magic.dev
Magic is an AI company that is working toward building safe AGI to accelerate humanity’s progress on the world’s most important problems.
github.com
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
github.com
A Julia framework for probabilistic graphical models.
github.com
Python library for working with Probabilistic Graphical Models.
pymc.io
Python Library for Probabalistic Programming (Bayesian Inference and Machine Learning).
nostarch.com
This fast-paced intro to programming with Python will have you writing code, solving problems, and making cool projects in no time.
qsmm.org
A C library implementing the rudiments of a toolchain for working with adaptive probabilistic assembler programs.
datasciencevademecum.wordpress.com
Handbook and recipes for data-driven solutions of real-world problems.
github.com
Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.