ML Research Hub – Telegram
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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🗣 DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI.

🖥 Github: https://github.com/salesforce/DialogStudio

📕 Paper: https://arxiv.org/abs/2307.10172v2

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

https://news.1rj.ru/str/DataScienceT
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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 💯

{ 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://news.1rj.ru/str/DataScienceT
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Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis

🖥 Github: https://github.com/ha0tang/ecgan

📕 Paper: https://arxiv.org/abs/2307.12084v1

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

https://news.1rj.ru/str/DataScienceT
Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG

🖥 Github: https://github.com/remotebiosensing/rppg

📕 Paper: https://arxiv.org/abs/2307.12644v1

🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg

https://news.1rj.ru/str/DataScienceT
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TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition (ICCV 2023)

🖥 Github: https://github.com/Shilin-LU/TF-ICON

📕 Paper: https://arxiv.org/abs/2307.12644v1

🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg

https://news.1rj.ru/str/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.

💫 Announcement: https://stability.ai/blog/stable-diffusion-sdxl-1-announcement

🖥 Github: https://github.com/Stability-AI/generative-models

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

https://news.1rj.ru/str/DataScienceT
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https://news.1rj.ru/str/+if7bANKpX_5hYjgy
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🦙 LLM Attacks

Universal and Transferable Attacks on Aligned Language Models.

🖥 Github: https://github.com/llm-attacks/llm-attacks

📕 Paper: https://arxiv.org/abs/2307.15043v1

🔗 Dataset: https://paperswithcode.com/dataset/ethics-1

https://news.1rj.ru/str/DataScienceT
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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://news.1rj.ru/str/DataScienceT
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NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

🖥 Github: https://github.com/facebookresearch/nerf-det

📕 Paper: https://arxiv.org/abs/2307.14620v1

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

🔗 Dataset: https://paperswithcode.com/dataset/arkitscenes

https://news.1rj.ru/str/DataScienceT
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🦙 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

🔨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 git@github.com:OpenBMB/ToolBench.git

🖥 Github: https://github.com/openbmb/toolbench

📕 Paper: https://arxiv.org/abs/2307.16789v1

⭐️Project: openbmb.github.io/ToolBench/

☑️ Demo: https://github.com/openbmb/toolbench#web-ui

https://news.1rj.ru/str/DataScienceT
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🔥 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.

🖥 Github: https://github.com/geekan/metagpt

📕 Paper: https://arxiv.org/abs/2308.00352v1

☑️ Roadmap: https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md

https://news.1rj.ru/str/DataScienceT
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🚀 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.

🖥 Github: https://github.com/mshukor/unival

📕 Paper: https://arxiv.org/abs/2307.16184

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

☑️ Demo: https://huggingface.co/spaces/mshukor/UnIVAL

https://news.1rj.ru/str/DataScienceT
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