Data Science | Machine Learning with Python for Researchers
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The Data Science and Python channel is for researchers and advanced programmers

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🧠 LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios.

🖥 Github: https://github.com/opendilab/LightZero

📕 Paper: https://arxiv.org/abs/2310.08348v1

⭐️ Tasks: https://paperswithcode.com/task/atari-games

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🔥 Burn - A Flexible and Comprehensive Deep Learning Framework in Rust

cargo new new_burn_app

🖥 Github: https://github.com/burn-rs/burn

📕 Burn Book: https://burn-rs.github.io/book/

⭐️ Guide: https://www.kdnuggets.com/rust-burn-library-for-deep-learning

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👨 AG3D: Learning to Generate 3D Avatars from 2D Image Collections (ICCV 2023)

🖥 Github: https://github.com/zj-dong/AG3D

📕 Paper: https://arxiv.org/abs/2305.02312

🚀Video: https://youtu.be/niP1YhJXEBE

⭐️ Project: https://zj-dong.github.io/AG3D/

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🖥 AutoGen

AutoGen provides multi-agent conversation framework as a high-level abstraction.

🖥 Github: https://github.com/microsoft/autogen

📕 Project: https://microsoft.github.io/autogen/

🤗 FLAML.: https://github.com/microsoft/FLAML

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#210th_quiz

Which of the following is a method used to evaluate the performance of a classification algorithm?
Anonymous Quiz
55%
F1 score
19%
Mean squared error
14%
Pearson correlation coefficient
12%
R-squared score
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