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Personal blog: matt-rickard.com

Current Projects

thiggle/api - Hosted categorization and classification API powered by LLMs. Give it a prompt and some categorizes, and it returns structured JSON with only the matching categories.

@react-llm/headless - Easy-to-use headless React Hooks to run LLMs in the browser with WebGPU. All inference happens clientside in the browser. See chat.matt-rickard.com for a live example.

LLaMaTab - A Chrome Extension that uses @react-llm/headless to run a LLM entirely in the browser. Load the model once and run on any site.

ReLLM - Exact structure out of any LLM by constraining pre-generation logits with regex. ParserLLM is an extension to ReLLM that constrains LLMs to only generating a specific context-free grammar (e.g., JSON).

openlm - a drop-in OpenAI-compatible Python library that can call LLMs from any other hosted inference API. OpenLM takes in the same parameters as the openai.Completion class and and outputs a similarly structured result.

llm.ts - A TypeScript equivalent of OpenLM that works in any JS environment (browser, node, deno)

virgo - Graph-based Declarative Configuration Language

mockerfile - Docker buildable alternative BuildKit frontend in YAML

ScapeNet and osrs-ocr - Fine-tuned object recognition and OCR models for the MMORPG Old School RuneScape

docker-merge - Merge Docker images like git branches

Past Projects

minikube - Run Kubernetes locally

skaffold - Define, develop, and run multi-deployment applications with Kubernetes

kubeflow - Machine Learning Toolkit for Kubernetes

distroless - Built a package manager for adding APT packages into distroless containers

minikube-kvm - Virtualization backend for minikube to run KVM machines on Linux