🔥 Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models.
🖥 Code: https://github.com/archerfmy/sd-t2i-360panoimage
📚 Paper: https://arxiv.org/abs/2311.13141v1
🔗 Dataset: https://paperswithcode.com/dataset/sun360
https://news.1rj.ru/str/DataScienceT
🖥 Code: https://github.com/archerfmy/sd-t2i-360panoimage
📚 Paper: https://arxiv.org/abs/2311.13141v1
🔗 Dataset: https://paperswithcode.com/dataset/sun360
https://news.1rj.ru/str/DataScienceT
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🎮 Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
🖥 Code: https://github.com/yule-BUAA/MergeLM
📚 Paper: https://arxiv.org/abs/2311.03099
🔗 Dataset: https://paperswithcode.com/task/instruction-following
https://news.1rj.ru/str/DataScienceT
🖥 Code: https://github.com/yule-BUAA/MergeLM
📚 Paper: https://arxiv.org/abs/2311.03099
🔗 Dataset: https://paperswithcode.com/task/instruction-following
https://news.1rj.ru/str/DataScienceT
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♟ ChessVision - A dataset for logically coherent multi-label classification.
🖥 Github: https://github.com/wojciechkusa/systematic-review-datasets
📕 Paper: https://arxiv.org/pdf/2311.12474v1.pdf
✨ Tasks: https://paperswithcode.com/task/question-answering
🔥Datasets: https://paperswithcode.com/dataset/blurb
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/wojciechkusa/systematic-review-datasets
📕 Paper: https://arxiv.org/pdf/2311.12474v1.pdf
✨ Tasks: https://paperswithcode.com/task/question-answering
🔥Datasets: https://paperswithcode.com/dataset/blurb
https://news.1rj.ru/str/DataScienceT
👍2
Infant Action Recognition
🖥 Github: https://github.com/ostadabbas/video-based-infant-action-recognition
📕 Paper: https://arxiv.org/pdf/2311.12300v1.pdf
✨ Tasks: https://paperswithcode.com/task/action-recognition-in-videos
🔥Datasets: https://paperswithcode.com/dataset/ntu-rgb-d
🖥 Github: https://github.com/ostadabbas/video-based-infant-action-recognition
📕 Paper: https://arxiv.org/pdf/2311.12300v1.pdf
✨ Tasks: https://paperswithcode.com/task/action-recognition-in-videos
🔥Datasets: https://paperswithcode.com/dataset/ntu-rgb-d
👍2❤1
CSMeD: Citation Screening Meta-Dataset for systematic review automation evaluation
🖥 Github: https://github.com/wojciechkusa/systematic-review-datasets
📕 Paper: https://arxiv.org/pdf/2311.12474v1.pdf
✨ Tasks: https://paperswithcode.com/task/question-answering
🔥Datasets: https://paperswithcode.com/dataset/blurb
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/wojciechkusa/systematic-review-datasets
📕 Paper: https://arxiv.org/pdf/2311.12474v1.pdf
✨ Tasks: https://paperswithcode.com/task/question-answering
🔥Datasets: https://paperswithcode.com/dataset/blurb
https://news.1rj.ru/str/DataScienceT
👍2
Forwarded from Data Science Library
Which one is your favorite Programming language?
Anonymous Poll
69%
Python
6%
Java/Kotlin
11%
C/C++/C#
5%
JavaScript/PHP
0%
Cobol/Perl/Pascal/LISP/ FORTRAN
4%
R
1%
Scala/Ruby
1%
Go/Swift
2%
MATLAB
1%
Not in the options
👍6
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🔥 Seamless: Multilingual Expressive and Streaming Speech Translation
🔥Hugging face demo: https://huggingface.co/collections/facebook/seamless-communication-6568d486ef451c6ba62c7724
⚡️ BLog: https://ai.meta.com/blog/seamless-communication/
📚 Paper: https://scontent.fbkk5-5.fna.fbcdn.net
🌟 Demo: https://seamless.metademolab.com/expressive
🖥 Github: https://github.com/facebookresearch/seamless_communication
🔥Hugging face demo: https://huggingface.co/collections/facebook/seamless-communication-6568d486ef451c6ba62c7724
⚡️ BLog: https://ai.meta.com/blog/seamless-communication/
📚 Paper: https://scontent.fbkk5-5.fna.fbcdn.net
🌟 Demo: https://seamless.metademolab.com/expressive
🖥 Github: https://github.com/facebookresearch/seamless_communication
👍3
Probabilistic-Forecast-Reconciliation-with-DL
🖥 Github: https://github.com/guanyu0316/Probabilistic-Forecast-Reconciliation-with-DL
📕 Paper: https://arxiv.org/pdf/2311.12279v1.pdf
✨ Tasks: https://paperswithcode.com/task/time-series-1
🖥 Github: https://github.com/guanyu0316/Probabilistic-Forecast-Reconciliation-with-DL
📕 Paper: https://arxiv.org/pdf/2311.12279v1.pdf
✨ Tasks: https://paperswithcode.com/task/time-series-1
👍4
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🦾 StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
🖥 Github: https://github.com/yl4579/StyleTTS2
🔥Colab: https://colab.research.google.com/github/yl4579/StyleTTS2/blob/main/
⚡️ Demo: https://huggingface.co/spaces/styletts2/styletts2
📚 Paper: https://arxiv.org/abs/2306.07691
🌟 Demo: https://seamless.metademolab.com/expressive
🥩 Page: styletts2.github.io
🖥 Github: https://github.com/yl4579/StyleTTS2
🔥Colab: https://colab.research.google.com/github/yl4579/StyleTTS2/blob/main/
⚡️ Demo: https://huggingface.co/spaces/styletts2/styletts2
📚 Paper: https://arxiv.org/abs/2306.07691
🌟 Demo: https://seamless.metademolab.com/expressive
🥩 Page: styletts2.github.io
👍7❤🔥1
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👍5
Towards Learning a Generalist Model for Embodied Navigation
🖥 Github: https://github.com/zd11024/NaviLLM
📕 Paper: https://arxiv.org/pdf/2312.02010v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/room-to-room
✨ Tasks: https://paperswithcode.com/task/3d-question-answering-3d-qa
🖥 Github: https://github.com/zd11024/NaviLLM
📕 Paper: https://arxiv.org/pdf/2312.02010v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/room-to-room
✨ Tasks: https://paperswithcode.com/task/3d-question-answering-3d-qa
👍5
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Paved2Paradise
🖥 Github: https://github.com/airalcorn2/paved2paradise
📕 Paper: https://arxiv.org/pdf/2312.01117v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/kitti
🖥 Github: https://github.com/airalcorn2/paved2paradise
📕 Paper: https://arxiv.org/pdf/2312.01117v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/kitti
❤1
Forwarded from Machine Learning with Python
https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Subscribe in our Channel in WhatsApp
There are exclusive surprises for those who join our WhatsApp channel
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Research Papers
Channel • 3.5K followers • 📚 Professional Academic Writing & Simulation Services
🖥 Hitchhiker's Guide to Python
Python Best Practices Guidebook
A guide to best practices for installing, configuring and using Python on a daily basis, including pip, numpy, virtualenv and more.
Resources: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A/110
Python Best Practices Guidebook
A guide to best practices for installing, configuring and using Python on a daily basis, including pip, numpy, virtualenv and more.
Resources: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A/110
👍2
Awesome Radar Perception
🖥 Github: https://github.com/Radar-Camera-Fusion/Awesome-Radar-Perception
📕 Paper: https://arxiv.org/pdf/2312.04861.pdf
✨ Tasks: https://paperswithcode.com/task/object-detection
🖥 Github: https://github.com/Radar-Camera-Fusion/Awesome-Radar-Perception
📕 Paper: https://arxiv.org/pdf/2312.04861.pdf
✨ Tasks: https://paperswithcode.com/task/object-detection
👍2❤1
📚 LlaVa Demo with LlamaIndex
In this example, we illustrate how we use LlaVa for belowing tasks:
▪Retrieval Augmented Image Captioning
▪Pydantic Structured Output
▪Multi-Modal Retrieval-Augmented Generation (RAG) using Llava-13b
🖥 Github: https://github.com/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb
🔍 Colab: https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb
🪩 Paper: https://arxiv.org/abs/2304.08485
💻 Website: https://llava-vl.github.io/
🔥 YouTube: https://youtube.com/watch?v=k7i2BpeLUss
In this example, we illustrate how we use LlaVa for belowing tasks:
▪Retrieval Augmented Image Captioning
▪Pydantic Structured Output
▪Multi-Modal Retrieval-Augmented Generation (RAG) using Llava-13b
🖥 Github: https://github.com/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb
🔍 Colab: https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb
🪩 Paper: https://arxiv.org/abs/2304.08485
💻 Website: https://llava-vl.github.io/
🔥 YouTube: https://youtube.com/watch?v=k7i2BpeLUss
Forwarded from Data Analytics
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🌍 BioCLIP: A Vision Foundation Model for the Tree of Life
- paper: https://arxiv.org/abs/2311.18803
- project: https://imageomics.github.io/bioclip/
- demo: https://huggingface.co/spaces/imageomics/bioclip-demo
- model: https://huggingface.co/imageomics/bioclip
- paper: https://arxiv.org/abs/2311.18803
- project: https://imageomics.github.io/bioclip/
- demo: https://huggingface.co/spaces/imageomics/bioclip-demo
- model: https://huggingface.co/imageomics/bioclip
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