Starred repositories
A sandbox environment designed for loading, running and profiling a wide range of files, including machine learning models, ELFs, Pickle, Javascript and more
maxsegan / spatialNanoGPT
Forked from karpathy/nanoGPTThe simplest, fastest repository for training/finetuning medium-sized GPTs.
A course on aligning smol models.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
list of differential-privacy related resources
Robust recipes to align language models with human and AI preferences
ableist-language-detector
Deep universal probabilistic programming with Python and PyTorch
Fairness toolkit for pytorch, scikit learn and autogluon
Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!
Finetune Llama 3.3, Mistral, Phi-4, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
Repo for sharing materials created by HCE Team
arXiv.org non-official badge implementation for Markdown files
A beautiful, simple, clean, and responsive Jekyll theme for academics
A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
A benchmark to evaluate language models on questions I've previously asked them to solve.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Adding guardrails to large language models.
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Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
A curated list of awesome resources, tools, and other shiny things for LLM prompt engineering.
DSPy: The framework for programming—not prompting—language models
A library for statistically estimating the privacy of ML pipelines from membership inference attacks
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.