ryanholbrook
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lightweight, standalone C++ inference engine for Google's Gemma models.
~/. Cross-platform, cross-shell configuration files. ⚙️💻
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons
Library for Digital Pathology Image Processing
napari: a fast, interactive, multi-dimensional image viewer for python
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
A list of awesome compiler projects and papers for tensor computation and deep learning.
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Machine Learning Engineering Open Book
🦜🔗 Build context-aware reasoning applications
A playbook for systematically maximizing the performance of deep learning models.
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have differ…
A novel approach for synthesizing tabular data using pretrained large language models
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Large list of handpicked color names 🌈
An unsupervised feature selection technique using supervised algorithms such as XGBoost