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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🖥 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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Forwarded from Data Science Books
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This channels is for Programmers, Coders, Software Engineers.

0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages

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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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[NeurIPS 2023] Global Structure-Aware Diffusion Process for Low-Light Image Enhancement


🖥 Github: https://github.com/jinnh/GSAD

📕 Paper: https://arxiv.org/pdf/2310.17577.pdf

🔥 Datasets: https://paperswithcode.com/dataset/lol
CS25: Transformers United V3

New lectures on the course on Transformers from Stanford! Stanford CS 25 " Transformers United " featured celebrity guests such as Andriy Karpaty, Noam Brown, Lukas Beyer and Geoff Hinton himself!

A new report has been released on the creation and recipes for creating universal AI agents in open worlds:

🟢 MineDojo : an open framework and multimodal database for training Minecraft agents.

🟢 Voyager : agent for lifelong learning in Minecraft based on LLM.

🟢 Eureka: GPT-4 develops reward functions to teach a robot hand to turn a knob.

🟢 VIMA : one of the earliest multimodal LLMs.

🟢A look into the future: promising areas of research.

☑️ Slides : https://drive.google.com/file/d/1lWIhijUaTZkkWOC_YwZHMoI0h7EAWVPL/view

📑 Lectures : https://web.stanford.edu/class/cs25

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⚡️ LLMRec: Large Language Models with Graph Augmentation for Recommendation

🖥 Github: https://github.com/hkuds/llmrec

📕 Paper: https://arxiv.org/abs/2311.00423v1

Project: https://llmrec.github.io/

🌐 Dataset: https://llmrec.github.io/#

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