antoninschrab

llama_index

LlamaIndex is a data framework for your LLM applications

mistral-inference

Official inference library for Mistral models

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

lightly

A python library for self-supervised learning on images.

cookbook

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

SDEdit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

Awesome-LLM-Watermark

UP-TO-DATE LLM Watermark paper. 🔥🔥🔥

RatInABox

A python package for simulating 2D motion in continuous environment and spatial cell types (e.g. place cell).

NeuralPlayground

The standardised environment for the hippocampus and entorhinal cortex models

goodpoints

A Python package for generating concise, high-quality summaries of a probability distribution

galaxy_mnist

Galaxy images labelled by morphology (shape). Aimed at ML development and teaching.

chartalist

Sponsored by the Canadian NSERC Discovery Grant RGPIN-2020-05665: Data Science on Blockchain and the National Science Foundation of USA under award number ECCS 2039701 Blockchain Graphs as Testbeds of Power Grid Resilience and Functionality Metrics.

jax-tutorial

mmdfuse

MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting by Biggs, Schrab, and Gretton: https://arxiv.org/abs/2306.08777

mmdagg

MMDAgg package implementing the MMDAgg test proposed in MMD Aggregated Two-Sample Test by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.15073

DAGuerreotype

source code of the paper: DAG LEARNING ON THE PERMUTAHEDRON

Push-forward-Generative-Models

Code for "Can Push-forward Generative Models Fit Multimodal Distributions?" paper.

agginc

AggInc package implementing the MMDAggInc, HSICAggInc and KSDAggInc tests proposed in Efficient Aggregated Kernel Tests using Incomplete U-statistics by Schrab, Kim, Guedj and Gretton: https://arxiv.org/abs/2206.09194 NeurIPS 2022

test-of-tests

kernel-ci-testing

Conditional independence testing with kernel-based measures

Markdown-Zettelkasten

Collection of helpful resources on the Zettelkasten method using Markdown editors

ucl-ellis.github.io

UCL ELLIS Unit

agginc-paper

Reproducibility code for Efficient Aggregated Kernel Tests using Incomplete U-statistics, by Schrab, Kim, Guedj and Gretton: https://arxiv.org/abs/2206.09194 NeurIPS 2022

dckernel

dckernel package implementing dcMMD and dcHSIC from Robust Kernel Hypothesis Testing under Data Corruption, by Schrab and Kim

mmdfuse-paper

Reproducibility code for MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting, by Biggs, Schrab, and Gretton: https://arxiv.org/abs/2306.08777

dckernel-paper

Reproducibility code for Robust Kernel Hypothesis Testing under Data Corruption, by Schrab and Kim

dpkernel

dpkernel package implementing dpMMD and dpHSIC from Differentially Private Permutation Tests: Applications to Kernel Methods, by Kim and Schrab

dpkernel-paper

Reproducibility code for Differentially Private Permutation Tests: Applications to Kernel Methods, by Kim and Schrab

ksdagg

KSDAgg package implementing the KSDAgg test proposed in KSD Aggregated Goodness-of-fit Test by Schrab, Guedj and Gretton: https://arxiv.org/abs/2202.00824 NeurIPS 2022