🦙 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.
🖥 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://t.iss.one/DataScienceT
🔨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🖥 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://t.iss.one/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://t.iss.one/DataScienceT
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://t.iss.one/DataScienceT
👍1
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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://t.iss.one/DataScienceT
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://t.iss.one/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://t.iss.one/DataScienceT
🖥 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
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
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
❤1👍1
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
🖥 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.
🖥 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
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
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
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
👍6👎2❤1
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
🖥 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
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
🖥 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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👁🗨 PyTorch Toolbox for Image Quality Assessment
An IQA toolbox with pure python and pytorch.
🖥 Github: https://github.com/chaofengc/iqa-pytorch
📕 Paper: https://arxiv.org/abs/2308.03060v1
🖥 Colab: https://colab.research.google.com/drive/14J3KoyrjJ6R531DsdOy5Bza5xfeMODi6?usp=sharing
☑️ Dataset: https://paperswithcode.com/dataset/koniq-10k
https://t.iss.one/DataScienceT
An IQA toolbox with pure python and pytorch.
🖥 Github: https://github.com/chaofengc/iqa-pytorch
📕 Paper: https://arxiv.org/abs/2308.03060v1
🖥 Colab: https://colab.research.google.com/drive/14J3KoyrjJ6R531DsdOy5Bza5xfeMODi6?usp=sharing
☑️ Dataset: https://paperswithcode.com/dataset/koniq-10k
https://t.iss.one/DataScienceT
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