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Hybrid ML + physics model of the Earth's atmosphere
Automated Bayesian model discovery for time series data
An experimental language for causal reasoning
Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Generating AI-ready datasets in python for air quality and EO-related studies using Google Earth Engine
Distributed and parallel sampling from intractable distributions
Initial public release of code, data, and model weights for FourCastNet
VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>
A domain-specific probabilistic programming language for modeling and inference with language models
Obsidian plugin to automatically create a note from arXiv.org, acl anthology and semantic scholar.
A Library for Gaussian Processes in Chemistry
Easy emulating of geophysical models including (but not limited to!) Earth System Models.
Bayesian active learning with EPIG data acquisition
Database with posteriors of interest for Bayesian inference
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
The global fossil fuel supply chain, mapped at the asset-level.