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Welcome and hello 👋

I'm a sysadmin, developer and manager, who used to be a business owner in the before times. I co-founded tummy.com, a Linux Sysadmin consulting company and dedicated managed hosting company, and ran it for 26 years. I had the privilege of working with an exceptional team, and great customers and vendors.

I'm currently working on machine learning, with a special focus on time series and sequential data, with applications to computer operations.

My learning is around PyTorch, CUDA, and all varieties of machine learning. I read more than one paper just about every day.

I'm looking to consult in the area of Linux operations, including optimizing developer pipelines.

I'm looking for help with gathering sample data for use in training models on log files from containers, virtual machines and bare metal.

Looking to help with mentoring around git, devops, github actions, system architecture...

You can reach me by opening an issue on this repository.

Colorado, US.

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evelynmitchell's Projects

shacl-playground icon shacl-playground

Implementation of a fully client-side SHACL validation playground. Supports a wide variety of RDF serializations.

sicp-pset-database icon sicp-pset-database

Archive of problem set database from the SICP course taught at MIT from 1981 to 1989.

sigmasep icon sigmasep

Code for UAI 2018 paper by Forré & Mooij (causal discovery with mSCMs using sigma-separation)

simmer icon simmer

Discrete Event Simulation for R

sktime icon sktime

A unified framework for machine learning with time series

sleeper-agents-paper icon sleeper-agents-paper

Contains random samples referenced in the paper "Sleeper Agents: Training Robustly Deceptive LLMs that Persist Through Safety Training".

smol-podcaster icon smol-podcaster

smol-podcaster is your autonomous podcast production intern 🐣

smoldeveloper icon smoldeveloper

with 100k context windows on the way, it's now feasible for every dev to have their own smol developer

sof-elk icon sof-elk

Configuration files for the SOF-ELK VM, used in SANS FOR572

softlearning icon softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

sophia icon sophia

Plug in and Play New optimizer that is 2x faster than Adam on LLMs. Effortless plugin and play to cut model training costs by 50%

sophia1 icon sophia1

The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

spacetime icon spacetime

Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.

spatially-embedded-rnn icon spatially-embedded-rnn

Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.

specfy icon specfy

Open source Stack Intelligence Platform

spelltest icon spelltest

AI-to-AI Testing | Simulation framework for LLM-based applications

spin icon spin

The official implementation of Self-Play Fine-Tuning (SPIN)

stable-alignment icon stable-alignment

Efficient, Effective, and Stable alternative of RLHF. Code for the paper "Training Socially Aligned Language Models in Simulated Human Society".

stable-baselines3 icon stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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