brandonsmith301's Stars
henrikbostrom/crepes
Python package for conformal prediction
AllenDowney/empiricaldist
Python library that represents empirical distribution functions.
AllenDowney/ThinkBayes
Code repository for Think Bayes.
whylabs/whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
GoogleCloudPlatform/vertex-pipelines-end-to-end-samples
valeman/Awesome_Math_Books
kathrinse/be_great
A novel approach for synthesizing tabular data using pretrained large language models
jxmorris12/vec2text
utilities for decoding deep representations (like sentence embeddings) back to text
roy-ht/editdistance
Fast implementation of the edit distance(Levenshtein distance)
kwang2049/kwang2049.github.io
scrosseye/persuade_corpus_2.0
This is the data associated with the PERSUADE Corpus 2.0 version
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
romanbsd/fast-stemmer
Fast Porter stemmer based on a C version of the algorithm
Reference-LAPACK/lapack
LAPACK development repository
numpy/numpy
The fundamental package for scientific computing with Python.
bvanderlei/jupyter-guide-to-linear-algebra
A Jupyter book intended as an introduction to linear algebra with Jupyter notebooks.
rbouadjenek/deakin-ai-challenge2023
The Deakin Simpsons challenge 2023 is a computer vision competition that is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.