Kilian Lieret
klieret
Research Software Engineer at Princeton University
Languages
Top Repositories
Analyze and manipulate your Anki flashcards using pandas dataframes!
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
Tips & Tricks for python, the command line, and more.
Create random file structures in python for testing purposes.
Non-linear, non-hierarchical knowledge management: Helper scripts for your Zettelkasten.
Slides and exercises for the iCSC lecture "Software Paradigms and Programming Patterns"
Repositories
116A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
A pre-commit hook that enforces that all Jekyll links are relative to site.baseurl
Non-linear, non-hierarchical knowledge management: Helper scripts for your Zettelkasten.
Analyze and manipulate your Anki flashcards using pandas dataframes!
Script to monitor PLI partitions of the Princeton clusters
Small wrapper around claude code so we don't have to wait 2s for startup
Testing ray tune with slurm batch submission and optuna and wandb
Slides and exercises for the iCSC lecture "Software Paradigms and Programming Patterns"
Tips & Tricks for python, the command line, and more.
Draw sunburst charts/hierarchical pie plots ("multi-level" pie plots of hierarchical data as e.g., in disk usage diagrams)
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Create random file structures in python for testing purposes.
🙌 OpenHands: Code Less, Make More
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Course notes for APC 524 @ Princeton
My snippets for obsidian
Analyze papers referencing each other. Extracts information from inspirehep, then describes the network in the dot language. Result can be plotted by dot, neato & Co.
Anki Cards for learning Japanese
The Learn Astropy homepage
Looking up kanji from the book series "Remembering The Kanji" by James Heisig.
Additional stoppers for ray tune
A simple style for matplotlib.
Open sourced predictions, execution logs, trajectories, and results from model inference + evaluation runs on the SWE-bench task.
Some tutorial notebooks for fitting in Hight Energy Physics (alias particle physics).
[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.
GitHub Pages Demo
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]