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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Kaggle is one of the goto platforms for Machine Learning

Here's how to use it to it's maximum potential πŸ’―

{ Explore Learn Section }
kaggle.com/learn

{ Explore Datasets }
kaggle.com/datasets

{ Explore Challenges}
kaggle.com/competitions

{ Learn By Building }
kaggle.com/code

{ Seek & Give Help }
kaggle.com/discussion

https://t.iss.one/DataScienceT
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⏩ Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis

πŸ–₯ Github: https://github.com/ha0tang/ecgan

πŸ“• Paper: https://arxiv.org/abs/2307.12084v1

πŸ”₯ Dataset: https://paperswithcode.com/dataset/cityscapes

https://t.iss.one/DataScienceT
Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG

πŸ–₯ Github: https://github.com/remotebiosensing/rppg

πŸ“• Paper: https://arxiv.org/abs/2307.12644v1

πŸ”₯ Dataset: https://paperswithcode.com/dataset/ubfc-rppg

https://t.iss.one/DataScienceT
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TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition (ICCV 2023)

πŸ–₯ Github: https://github.com/Shilin-LU/TF-ICON

πŸ“• Paper: https://arxiv.org/abs/2307.12644v1

πŸ”₯ Dataset: https://paperswithcode.com/dataset/ubfc-rppg

https://t.iss.one/DataScienceT
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ANNOUNCING SDXL 1.0

The Stability AI team is proud to release as an open model SDXL 1.0, the next iteration in the evolution of text-to-image generation models.

πŸ’« Announcement: https://stability.ai/blog/stable-diffusion-sdxl-1-announcement

πŸ–₯ Github: https://github.com/Stability-AI/generative-models

⭐️ Clip: https://clipdrop.co/stable-diffusion

https://t.iss.one/DataScienceT
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πŸš€ Even students earn $100 per day!

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Right now the founder of the biggest channel on this theme @CoinPost opens access to a private channel, where he shows the ways to earn thousands dollars on cryptocurrency.

Subscribe or you’ll miss your chance to become rich. πŸ‘‡

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πŸ¦™ LLM Attacks

Universal and Transferable Attacks on Aligned Language Models.

πŸ–₯ Github: https://github.com/llm-attacks/llm-attacks

πŸ“• Paper: https://arxiv.org/abs/2307.15043v1

πŸ”— Dataset: https://paperswithcode.com/dataset/ethics-1

https://t.iss.one/DataScienceT
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Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph

πŸ–₯ Github: https://github.com/wangyixinxin/mrg-kg

πŸ“• Paper: https://arxiv.org/pdf/2307.12526v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/mimic-cxr

https://t.iss.one/DataScienceT
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NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

πŸ–₯ Github: https://github.com/facebookresearch/nerf-det

πŸ“• Paper: https://arxiv.org/abs/2307.14620v1

⚑ Project: https://chenfengxu714.github.io/nerfdet/

πŸ”— Dataset: https://paperswithcode.com/dataset/arkitscenes

https://t.iss.one/DataScienceT
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πŸ¦™ ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

πŸ”¨ToolLLM aims to construct open-source, large-scale, high-quality instruction tuning SFT data to facilitate the construction of powerful LLMs with general tool-use capability.

git clone [email protected]:OpenBMB/ToolBench.git

πŸ–₯ Github: https://github.com/openbmb/toolbench

πŸ“• Paper: https://arxiv.org/abs/2307.16789v1

⭐️Project: openbmb.github.io/ToolBench/

β˜‘οΈ Demo: https://github.com/openbmb/toolbench#web-ui

https://t.iss.one/DataScienceT
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πŸ”₯ MetaGPT: Meta Programming for Multi-Agent Collaborative Framework

MetaGPT, an innovative framework that infuses effective human workflows as a meta programming approach into LLM-driven multi-agent collaboration.

πŸ–₯ Github: https://github.com/geekan/metagpt

πŸ“• Paper: https://arxiv.org/abs/2308.00352v1

β˜‘οΈ Roadmap: https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md

https://t.iss.one/DataScienceT
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πŸš€ Unified Model for Image, Video, Audio and Language Tasks

UnIVAL is a 0.25B-parameter unified model that is multitask pretrained on image and video-text data and target image, video and audio-text downstream tasks.

πŸ–₯ Github: https://github.com/mshukor/unival

πŸ“• Paper: https://arxiv.org/abs/2307.16184

⭐️Project: https://unival-model.github.io/

β˜‘οΈ Demo: https://huggingface.co/spaces/mshukor/UnIVAL

https://t.iss.one/DataScienceT
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