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Finding Atari Games in Randomly Generated Data

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DOGE says it has saved $160 billion. Those cuts have cost taxpayers $135 billion, one analysis says.

What's the best platform for AI-ready datasets these days (training, knowledge bases, etc).

Early Parkinson’s diagnosis possible with simple, non-invasive eye scan

Recommendations for building AI agent which can automates healthcare EMR workflow?

Used EV batteries could power vehicles, houses or even towns – if their manufacturers share vital data | EV batteries are made of hundreds of smaller cells

[D] Need Advice on Efficiently Handling and Training Large Speech Detection Dataset (150 GB WAV Files)

[R] Meta releases synthetic data kit!!

Current data controls against a synthetic flood [D]

[P] Looking for ModaNet dataset

Datadog

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Toto-Open-Base-1.0

Task: time-series-forecasting

ByteDance Seed

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Seed1.5-Embedding

microsoft

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Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

OpenBB-finance

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OpenBB

Investment Research for Everyone, Everywhere.

great-expectations

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great_expectations

Always know what to expect from your data.

pydantic

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pydantic

Data validation using Python type hints

apache

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superset

Apache Superset is a Data Visualization and Data Exploration Platform

conda

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conda

A system-level, binary package and environment manager running on all major operating systems and platforms.

sktime

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sktime

A unified framework for machine learning with time series

microsoft

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qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

autogluon

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autogluon

Fast and Accurate ML in 3 Lines of Code