GitHub - uber/orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
HackPPL: A Universal Probabilistic Programming Language - Meta Research | Meta Research
HackPPL: A Universal Probabilistic Programming LanguageMAPL at PLDI HackPPL is a probabilistic programming language (PPL) built within the Hack programming language. Its universal inference engine allows developers to perform inference across a diverse set of models expressible in arbitrary Hack code. Through language-level extensions and direct integration with developer tools, HackPPL aims to br
Why Probabilistic Programming Matters
Probabilistic programming is a newer way of posing machine learning problems. As the models we want to create become more complex it will be necessary to embrace more generic tools for capturing dependencies. I wish to argue that probabilistic programming languages should be the dominant way we perform this modeling, and will demonstrate it by showing the variety of problems that can be trivially
Dustin Tran
Practical Uncertainty Estimation & Out-of-Distribution Robustness in Deep Learning (2020) Video & Slides Publications Preprints Some of my work is available as preprints on arXiv. Larger language models do in-context learning differently Jerry Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma Plex: Towards reliability using pre
TensorFlow Distributions
The TensorFlow Distributions library implements a vision of probability theory adapted to the modern deep-learning paradigm of end-to-end differentiable computation. Building on two basic abstractions, it offers flexible building blocks for probabilistic computation. Distributions provide fast, numerically stable methods for generating samples and computing statistics, e.g., log density. Bijectors
Uber AI Labs Open Sources Pyro, a Deep Probabilistic Programming Language
EngineeringUber AI Labs Open Sources Pyro, a Deep Probabilistic Programming LanguageNovember 3, 2017 / Global Achieving Uber’s goal of bringing reliable transportation to everyone requires effortless prediction and optimization at every turn. Opportunities range from matching riders to drivers, to suggesting optimal routes, finding sensible pool combinations, and even creating the next generation
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What is probabilistic programming?
PROBPROG | International Conference on Probabilistic Programming
An introduction to probabilistic programming, now available in TensorFlow Probability
Probabilistic data structures in Python - O'Reilly Media
anomaly_detection/Anomaly Detection Post.ipynb at master · fastforwardlabs/anomaly_detection