ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Paper: https://arxiv.org/pdf/2408.16725v2.pdf

Code: https://github.com/gpt-omni/mini-omni

Dataset: LibriSpeech

https://t.iss.one/DataScienceT ⭐️
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MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery

Paper: https://arxiv.org/pdf/2409.05591v2.pdf

Code: https://github.com/qhjqhj00/memorag

Dataset: GovReport

https://t.iss.one/DataScienceT ⭐️
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Data Science Cheat Sheets
Quick help to make a data scientist's life easier

About Dataset
A collection of cheat sheets for various data-science related languages and topics


https://t.iss.one/codeprogrammer 🔒

💡 #deeplearning #AI #ML #python
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@CodeProgrammer Data Science Cheat Sheets.zip
596.3 MB
Data Science Cheat Sheets
Quick help to make a data scientist's life easier

https://t.iss.one/codeprogrammer 🔒

💡 #deeplearning #AI #ML #python
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🖥 UNet 3+ Implementation in TensorFlow

This article presents an implementation of the UNet 3+ architecture using TensorFlow.

UNet 3+ extends the classic UNet and UNet++ architecture.

This article looks at each block of the UNet 3+ architecture and explains how they work and what helps improve the performance of the model.

Understanding these blocks will help us understand the mechanisms behind UNet 3+ and how it effectively tackles tasks such as image segmentation or other pixel-wise prediction tasks.

https://idiotdeveloper.com/unet-3-plus-implementation-in-tensorflow/

https://t.iss.one/DataScienceT ⭐️
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SGFormer: Simplified Graph Transformers

🖥 Github: https://github.com/qitianwu/sgformer

📕 Paper: https://arxiv.org/pdf/2306.10759.pdf

🤗 Blog: https://zhuanlan.zhihu.com/p/674548352
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Forwarded from Tomas
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Forwarded from Machine Learning
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🌏 JoyHallo: Mandarin Digital Human 🌏 
 
JD Health faced the challenges of audio-driven video generation in Mandarin, a task complicated by the language’s intricate lip movements and the scarcity of HQ datasets. Impressive results (-> audio ON). Code Models available 
 
✔️ Review: https://t.ly/5NGDh

✔️ Paper: arxiv.org/pdf/2409.13268
 
✔️ Project: jdh-algo.github.io/JoyHallo/ 

✔️ Code: github.com/jdh-algo/JoyHallo

https://t.iss.one/DataScienceT
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StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation

Paper: https://arxiv.org/pdf/2409.12576v1.pdf

Code: https://github.com/redaigc/storymaker

https://t.iss.one/DataScienceT
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Forwarded from Tomas
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Pandas ➡️ Polars ➡️ SQL ➡️ PySpark translations:

Is it useful to you

📂 Tags: #pandas #Polars #sql #Pyspark

https://t.iss.one/codeprogrammer ⭐️
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WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild

Paper: https://arxiv.org/pdf/2409.12259v1.pdf

Code: https://github.com/rolpotamias/WiLoR

Datasets: FreiHAND - HO-3D v2 - COCO-WholeBody

https://t.iss.one/DataScienceT 🏵
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