dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Python library to scrape social media data via the EnsembleData API.

Supercharge Your LLM Application Evaluations

scikit-learn: machine learning in Python

Algorithms for explaining machine learning models

Survival analysis built on top of scikit-learn

Serverless federated learning using flwr

👋 Influenciae is a Tensorflow Toolbox for Influence Functions

🎯 Accumulated Gradients for TensorFlow 2

🧠 Your Second Brain supercharged by Generative AI 🧠 Dump all your files and chat with your personal assistant on your files & more using GPT 3.5/4, Private, Anthropic, VertexAI, LLMs...

Network Analysis in Python

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

Open-source eddy-current and head-motion correction for dMRI.

Neuroimaging analysis and visualization suite

A collection of design patterns/idioms in Python

Deep Learning tools for brain medical images

Datasets, Transforms and Models specific to Computer Vision

The uncompromising Python code formatter

fMRIPrep is a functional magnetic resonance imaging (fMRI) data preprocessing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to variations in s…

Machine learning for NeuroImaging in Python

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical imag…