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A comprehensive set of fairness metrics for datasets and machine learning models.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
A curated list of language modeling researches for code and related datasets.
Track your datasets, code changes, experimentation history, and models.
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
A data orchestrator for machine learning, analytics, and ETL.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Machine learning development environment for data science and AI/ML engineering teams.
Visualizations for understanding and analyzing machine learning datasets.
Security research toolkit for extracting, transforming, and analyzing data during investigation workflows.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
All-in-one web-based IDE specialized for machine learning and data science.
A library consisting of useful tools for data science and machine learning tasks.
Statistics, data mining and machine learning toolbox in Java.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
Code for Data Science at Olin College, Spring 2014.
) - RSS/Atom gateway to Nostr. Live at [https://atomstr.data.haus](https://atomstr.data.haus)
Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.
) - DVM documentation and kind registry