google-deepmind/abstract-reasoning-matrices
Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018 (⭐ 182)
Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018 (⭐ 182)
Multi-Joint dynamics with Contact. A general purpose physics simulator. (⭐ 12217)
Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print). (⭐ 677)
No description (⭐ 2184)
Tracking Any Point (TAP) (⭐ 1808)
No description (⭐ 330)
Build Graph Nets in Tensorflow (⭐ 5394)
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty. (⭐ 1939)
model card". x.ai. Retrieved 12 December 2023. "Gemini – Google DeepMind". deepmind.google. Archived from the original on 8 December 2023. Retrieved
No description (⭐ 46 | Python)
In 2016, we introduced AlphaGo, the first artificial intelligence (AI) program to defeat humans at the ancient game of Go. Two years later, its successor - AlphaZero - learned from scratch to master Go, chess and shogi. Now, in a paper in the journal Nature, we describe MuZero, a…
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