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VIP cheatsheets for Stanford's CS 229 Machine Learning
Positron, a next-generation data science IDE
A Python package for making excalidraw figures procedurally from python.
✨ AI/ML & Bio/Medicine Research
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Blazing-Fast Bioinformatic Operations on Python DataFrames
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Lightweight and educational reimplementation of TabPFN https://arxiv.org/pdf/2511.03634
Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
all of the workflows of n8n i could find (also from the site itself)
LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization
Scripts y dataset para analizar las defunciones por suicidio en México utilizando los microdatos del INEGI
The NeuroDataSets package offers a rich and diverse collection of datasets focused on the brain, the nervous system, and neurological and psychiatric disorders. It includes data on conditions such …
GEDAI denoising plugin for the EEGLAB toolbox
Repository of the paper "AnyUp: Universal Feature Upsampling".
Multimodal Conversational System — RAG + Vision (LangChain + LangGraph + S3 Sync)
Multilingual text (NLP) processing toolkit
Transform geospatial relations into graph representations designed for spatial network analysis and Graph Neural Networks (GNNs).
Introduction to Machine Learning Systems
Course about transformers, the architecture of GPT models
A list of deep learning implementations in biology