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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🦾 Free Course: The Hands-on Reinforcement Learning course πŸš€

Reinforcement learning is a type of machine learning in which the system under test learns by interacting with some environment.

This is a step-by-step, practical course that will help you learn RL from the very basics.

πŸ’» Course: https://www.realworldml.xyz/the-hands-on-reinforcement-learning-course

πŸ–₯ Github: https://github.com/Paulescu/hands-on-rl

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πŸ”° Artificial Intelligence A-Zβ„’ 2023: Build an AI with ChatGPT4

🌟 4.3 - 27972 votes πŸ’° Original Price: $74.99

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Taught By: Hadelin de Ponteves, Kirill Eremenko

🌐 First Join Channel : https://t.iss.one/+xIYRmZxpAog5YTdk

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πŸ–₯ Transformers From Scratch
PYTHON

In this notebook we have built a transformer model based on the Attention Is All You Need paper following along with Andrej Karpathy’s fantastic YouTube video: Let’s build GPT.

πŸ“Œ Notebook: https://blog.matdmiller.com/posts/2023-06-10_transformers/notebook.html

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🧠 BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis

git clone https://github.com/buaavrcg/BakedAvatar
cd BakedAvatar

πŸ–₯ Code: https://github.com/buaavrcg/BakedAvatar

πŸ“š Paper: https://dl.acm.org/doi/10.1145/3618399

⚑️ Page: https://buaavrcg.github.io/BakedAvatar/

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Forwarded from Data Science Books
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πŸ’Š AMIE: A research AI system for diagnostic medical reasoning and conversations

πŸ’‘ Blog: https://blog.research.google/2024/01/amie-research-ai-system-for-diagnostic_12.html

πŸ“š Paper: https://arxiv.org/abs/2401.05654

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πŸ–ΌοΈ DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders πŸ”₯

πŸ–₯ Code: github.com/piddnad/DDColor

πŸ“š Paper: arxiv.org/abs/2212.11613

🌟 Colab: https://github.com/camenduru/DDColor-colab

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