github.com
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
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mygreatlearning.com
Introduction to Data Science provides AI-assisted learning, courses, tutorials, or study support.
llamaindex.ai
A data framework for building LLM applications over external data.
github.com
Source code and experiments results for 2018 Data Science Bowl.
github.com
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
quora.com
What is Data Science @ Quora provides AI-assisted learning, courses, tutorials, or study support.
huggingface.co
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
huggingface.co
AI Jukebox supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
A comprehensive set of fairness metrics for datasets and machine learning models.
github.com
Easy way to turn any app into searchable data for LLMs.
github.com
Code and documentation to train Stanford's Alpaca models, and generate the data.
github.com
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
github.com
Platform for Production Data Science.
archtools.dev
One API key, 63 AI agent tools: web search, scraping, AI generation, OCR, crypto data. LangChain + MCP ready. Pay per call with credits or x402/USDC.
astroml.org
Machine Learning and Data Mining for Astronomy.
github.com
Scripts to generate a dataset with static frames from the Arcade Learning Environment.
github.com
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
An easy-to-use feature store. Optimized for time-series data.
huggingface.co
CLIP Interrogator supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
Basic functions for clustering data: k-means, dp-means, etc.
github.com
Track your datasets, code changes, experimentation history, and models.
github.com
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.