🔥 One of the most beautiful interactive visualizations on how LLMs work.

http://ig.ft.com/generative-ai/

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

🚀 Introducing YOLO-NAS Pose : A Game-Changer in Pose Estimation 🚀

This Model is a redefinition of pose estimation's potential.

🖥 Github: https://github.com/Deci-AI/super-gradients

📕 Notebook: https://colab.research.google.com/drive/1O4N5Vbzv0rfkT81LQidPktX8RtoS5A40

🚀 Demo: https://huggingface.co/spaces/Deci/YOLO-NAS-Pose-Demo

🌐 Colab: https://colab.research.google.com/drive/1agLj0aGx48C_rZPrTkeA18kuncack6lF

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

Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture Trannoscripts

🖥 Github: https://github.com/shyyhs/CourseraParallelCorpusMining

📕 Paper: https://arxiv.org/abs/2311.03696v1

🔥 Datasets: https://paperswithcode.com/dataset/aspec

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

Large Language Models (in 2023)

An excellent summary of the research progress and developments in LLMs.

Hyung Won chung, OpenAI (ex.Google and MIT Alumni) made this content publicly available. It's a great way to catch up on some important themes like scaling and optimizing LLMs.

Watch his talk here and Slides shared here.

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

Soon

Our new channel - Datasets repositories

https://news.1rj.ru/str/datasets1

NVIDIA just made Pandas 150x faster with zero code changes.

All you have to do is:

%load_ext cudf.pandas
import pandas as pd

Their RAPIDS library will automatically know if you're running on GPU or CPU and speed up your processing.

You can try it in this colab notebook

GitHub repo: https://github.com/rapidsai/cudf

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

Conic10K

🖥 Github:https://github.com/whynlp/conic10k

📕 Paper: https://arxiv.org/pdf/2311.05113v1.pdf

🔥 Datasets: https://paperswithcode.com/dataset/gsm8k

✨ Tasks: https://paperswithcode.com/task/natural-language-understanding

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

⚡️ LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

pip install diffusers transformers accelerate gradio==3.48.0

🖥 Github: https://github.com/luosiallen/latent-consistency-model

📕 Paper: https://arxiv.org/abs/2311.05556v1

🌐 Project: https://latent-consistency-models.github.io

🤗 Demo: https://huggingface.co/spaces/SimianLuo/Latent_Consistency_Model

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

Quantized Distillation for Driver Activity Recognition

🖥 Github: https://github.com/calvintanama/qd-driver-activity-reco

📕 Paper: https://arxiv.org/pdf/2311.05970v1.pdf

🔥 Datasets: https://paperswithcode.com/dataset/drive-act

✨ Tasks: https://paperswithcode.com/task/activity-recognition

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

Do you enjoy reading this channel?

Perhaps you have thought about placing ads on it?

To do this, follow three simple steps:

1) Sign up: https://telega.io/c/dataScienceT
2) Top up the balance in a convenient way
3) Create an advertising post

If the topic of your post fits our channel, we will publish it with pleasure.

🔊 Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Сhat & pretrained large audio language model proposed by Alibaba Cloud.

🐱 Github: https://github.com/qwenlm/qwen-audio

🚀 Demo: https://qwen-audio.github.io/Qwen-Audio/

📕 Paper: https://arxiv.org/abs/2311.07919v1

⏩ Dataset: https://paperswithcode.com/dataset/vocalsound

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

🟢 Introducing Emu Video and Emu Edit, our latest generative AI research milestones

🚀 Meta: https://ai.meta.com/blog/emu-text-to-video-generation-image-editing-research/

⭐️Project page: https://emu-edit.metademolab.com

📌Paper: https://emu-edit.metademolab.com/assets/emu_edit.pdf

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

🌴Data Science A-Z™: Hands-On Exercises & ChatGPT Bonus [2023]🌴

Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!

Price :- 120$ - 20$

Price: 20$

Contact @hussein_sheikho

🌦 Makani: Massively parallel training of machine-learning based weather and climate models

🐱Github: https://github.com/NVIDIA/makani

📕Blog: https://developer.nvidia.com/blog/modeling-earths-atmosphere-with-spherical-fourier-neural-operators/

⏩ Dataset: https://github.com/NVIDIA/makani/tree/main/datasets

Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)

🖥 Github: https://github.com/jaearly/miltimeseriesclassification

📕 Paper: https://arxiv.org/pdf/2311.10049v1.pdf

✨ Tasks: https://paperswithcode.com/task/decision-making

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

➕ SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks

🖥 Github: https://github.com/OpenGVLab/SAM-Med2D

🖥 Colab: https://colab.research.google.com/github/OpenGVLab/SAM-Med2D/blob/main/predictor_example.ipynb

📕 Paper: https://arxiv.org/abs/2311.11969v1

⭐️ Dataset: https://arxiv.org/abs/2311.11969

🐬 ShareGPT4V:Improving Large Multi-Modal Models with Better Captions

🖥 Code: https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V

🦾 Project: https://sharegpt4v.github.io/

⚡️ Demo: https://huggingface.co/spaces/Lin-Chen/ShareGPT4V-7B

📚 Paper: https://arxiv.org/pdf/2311.12793.pdf

🔗 Dataset: https://huggingface.co/datasets/Lin-Chen/ShareGPT4V