Data Science | Machine Learning with Python for Researchers
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Admin: @HusseinSheikho

The Data Science and Python channel is for researchers and advanced programmers

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Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph

🖥 Github: https://github.com/wangyixinxin/mrg-kg

📕 Paper: https://arxiv.org/pdf/2307.12526v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/mimic-cxr

https://t.iss.one/DataScienceT
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💼 Introducing Qwen-7B: Open foundation and human-aligned models (of the state-of-the-arts)

Qwen-7B outperforms the baseline models of a similar model size, and even outperforms larger models of around 13B parameters, on a series of benchmark datasets.

🖥 Github: https://github.com/QwenLM/Qwen-7B

📕 Paper: https://github.com/QwenLM/Qwen-7B/blob/main/tech_memo.md

☑️ Dataset: https://paperswithcode.com/dataset/mmlu

https://t.iss.one/DataScienceT
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Forwarded from Eng. Hussein Sheikho 👨‍💻
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

https://t.iss.one/addlist/8_rRW2scgfRhOTc0

https://t.iss.one/DataScienceM
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PG-RCNN: Semantic Surface Point Generation for 3D Object Detection (ICCV 2023)

🖥 Github: https://github.com/quotation2520/pg-rcnn

📕 Paper: https://arxiv.org/pdf/2307.12637v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/kitti

https://t.iss.one/DataScienceT
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🦩 OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

An open-source framework for training large multimodal models.

pip install open-flamingo

🖥 Github: https://github.com/mlfoundations/open_flamingo

📕 Paper: https://arxiv.org/abs/2308.01390

⭐️ Demo: https://huggingface.co/spaces/openflamingo/OpenFlamingo

☑️ Dataset: https://paperswithcode.com/dataset/flickr30k

https://t.iss.one/DataScienceT
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LISA: Reasoning Segmentation via Large Language Model

New segmentation task -- reasoning segmentation. The task is designed to output a segmentation mask given a complex and implicit query text.

🖥 Github: https://github.com/dvlab-research/lisa

📕 Paper: https://arxiv.org/abs/2308.00692v2

☑️ Dataset: https://github.com/dvlab-research/lisa#dataset

https://t.iss.one/DataScienceT
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Forwarded from Data Science Books
Machine Learning with Python Cookbook (2023)

This book is available now only in paid channel

Cost of Paid channel is 5$ for one time and forever

Channel link: https://t.iss.one/+LnCmAFJO3tNmYjUy

Paid channel contain important book and udemy and other courses as zip files

Welcome all
Contact @Hussein_sheikho
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Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection

🖥 Github: https://github.com/chrisisking/rule-by-example

📕 Paper: https://arxiv.org/pdf/2307.12935v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/hatexplain

https://t.iss.one/DataScienceT
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🌉Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution

Experiments demonstrate that our method achieves a PSNR of 30.72dB, outperforming state-of-the-art methods by 14
on GTA5 nighttime haze dataset.

🖥 Github: https://github.com/jinyeying/nighttime_dehaze/tree/main

📕 Paper: https://arxiv.org/abs/2308.01738v1

☑️ Dataset: https://www.dropbox.com/sh/7qzmb3y9akejape/AABYf2ZAqn_5vmPsOPg7KqoMa?dl=0

https://t.iss.one/DataScienceT
Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation

🖥 Github: https://github.com/bytedance/dq-det

📕 Paper: https://arxiv.org/pdf/2307.12239v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/cityscapes

https://t.iss.one/DataScienceT
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🚀 AgentBench: Evaluating LLMs as Agents.

AgentBench, a multi-dimensional evolving benchmark that currently consists of 8 distinct environments to assess LLM-as-Agent's reasoning and decision-making abilities in a multi-turn open-ended generation setting.

🖥 Github: https://github.com/thudm/agentbench

📕 Paper: https://arxiv.org/abs/2308.03688v1

☑️ Dataset: https://paperswithcode.com/dataset/alfworld

https://t.iss.one/DataScienceT
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EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

🖥 Github: https://github.com/DSL-Lab/echoglad

📕 Paper: https://arxiv.org/pdf/2307.12229v1.pdf

https://t.iss.one/DataScienceT