The first channel in the world of Telegram is dedicated to helping students and programmers of artificial intelligence, machine learning and data science in obtaining data sets for their research.

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

An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms

🖥 Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms

📕 Paper: https://arxiv.org/pdf/2312.14794v1.pdf

✨ Tasks: https://paperswithcode.com/task/information-retrieval

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

Boost our channel and get free membership in our paid channel

https://news.1rj.ru/str/DataScienceM?boost

Contact @hussein_sheikho

🍏Ferret: Refer and Ground Anything Anywhere at Any Granularity

🖥 Code: github.com/apple/ml-ferret

🎓 Paper: https://arxiv.org/abs/2310.07704

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

🎞ViStripformer (Video-Stripformer)

🖥 Github: https://github.com/pp00704831/ViStripformer

📕 Paper: https://arxiv.org/pdf/2312.14502v1.pdf

✨ Tasks: https://paperswithcode.com/task/deblurring

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

🐱DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

🖥 Code: https://github.com/Kevin-thu/DiffMorpher

🧪OpenXLab: https://openxlab.org.cn/apps/detail/KaiwenZhang/DiffMorpher

🎓 Colab: https://github.com/camenduru/DiffMorpher-colab

🔮 Project Page: https://kevin-thu.github.io/DiffMorpher_page

📚 ArXiv: https://arxiv.org/abs/2312.07409

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

⚡️ MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

🖥 Code: https://github.com/TencentARC/MotionCtrl

🎓 Colab: https://github.com/camenduru/MotionCtrl-colab

🔮 Project Page: https://openxlab.org.cn/apps/detail/camenduru/MotionCtrl

📚 ArXiv: https://arxiv.org/abs/2312.03641

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

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

🖥 Github: https://github.com/OpenDriveLab/LaneSegNet

📕 Paper: https://arxiv.org/abs/2312.16108v1

🔥Datasets: https://paperswithcode.com/dataset/openlane-v2

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

🌹4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency

🖥 Code: https://github.com/VITA-Group/4DGen

🔮 Project: https://vita-group.github.io/4DGen/

📚 ArXiv: https://arxiv.org/abs/2305.06456

✔️ AIJack: Security and Privacy Risk Simulator for Machine Learning

Security and Privacy Risk Simulator for Machine Learning.

pip install git+https://github.com/Koukyosyumei/AIJack

🖥 Code: https://github.com/microsoft/promptbench

🌟 Docs: https://promptbench.readthedocs.io/en/latest/

📚 Paper: https://arxiv.org/abs/2312.07910v1

⚡️ Dataset: https://paperswithcode.com/dataset/mmlu

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

🎙OpenVoice: Versatile Instant Voice Cloning

🖥 Code: https://github.com/myshell-ai/OpenVoice

📚 Paper: https://arxiv.org/abs/2312.01479

⚡️ Page: https://research.myshell.ai/open-voice

🌟 Colab: https://github.com/camenduru/OpenVoice-colab

StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

paper: https://arxiv.org/pdf/2312.12491v1.pdf

source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file

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

🦜 DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models

🖥 Code: https://github.com/ali-vilab/dreamtalk

📚 Paper: https://arxiv.org/abs/2312.09767

⚡️ Page: https://dreamtalk-project.github.io

🌟 Colab: https://github.com/camenduru/dreamtalk-colab

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

TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming

🖥 Github: https://github.com/IITB-LEAP-OCR/TEXTRON

📕 Paper: https://openaccess.thecvf.com/content/WACV2024/papers/Kudale_Textron_Weakly_Supervised_Multilingual_Text_Detection_Through_Data_Programming_WACV_2024_paper.pdf

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

✨ Tasks: https://paperswithcode.com/task/optical-character-recognition

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

GridFormer: Point-Grid Transformer for Surface Reconstruction

Paper:
https://arxiv.org/pdf/2401.02292.pdf

GitHub:
https://github.com/list17/GridFormer

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

🦾 Free Course: The Hands-on Reinforcement Learning course 🚀

Reinforcement learning is a type of machine learning in which the system under test learns by interacting with some environment.

This is a step-by-step, practical course that will help you learn RL from the very basics.

💻 Course: https://www.realworldml.xyz/the-hands-on-reinforcement-learning-course

🖥 Github: https://github.com/Paulescu/hands-on-rl

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

🌟🔥💥☄ BEST DATA SCIENCE CHANNELS ON TELEGRAM 👇

https://news.1rj.ru/str/addlist/8_rRW2scgfRhOTc0

TinyLlama-1.1B

🖥 Github: https://github.com/jzhang38/tinyllama

📕 Paper: https://arxiv.org/pdf/2401.02385v1.pdf

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

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

🔰 Artificial Intelligence A-Z™ 2023: Build an AI with ChatGPT4

🌟 4.3 - 27972 votes 💰 Original Price: $74.99

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Taught By: Hadelin de Ponteves, Kirill Eremenko

🌐 First Join Channel : https://news.1rj.ru/str/+xIYRmZxpAog5YTdk

⭐️ Link Download: https://news.1rj.ru/str/c/1943137813/408

⭐️ Python Courses:
https://news.1rj.ru/str/Python53

🖥 Transformers From Scratch
PYTHON

In this notebook we have built a transformer model based on the Attention Is All You Need paper following along with Andrej Karpathy’s fantastic YouTube video: Let’s build GPT.

📌 Notebook: https://blog.matdmiller.com/posts/2023-06-10_transformers/notebook.html

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