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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We launched a special bot some time ago to download all scientific, software and mathematics books The bot contains more than thirty million books, and new books are downloaded first, In addition to the possibility of downloading all articles and scientific papers for free

To request a subnoscription: talk to @Hussein_Sheikho
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🎨 Making ML-powered web games with Transformers.js

The goal of this tutorial is to show you how easy it is to make your own ML-powered web game.

🖥 Github: https://github.com/xenova/doodle-dash

🤗 Hugging face: https://huggingface.co/blog/ml-web-games

⭐️ Code: https://github.com/xenova/doodle-dash

🔗Demo: https://huggingface.co/spaces/Xenova/doodle-dash

🔗 Dataset: https://huggingface.co/datasets/Xenova/quickdraw-small

https://news.1rj.ru/str/DataScienceT
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🦙 Focused Transformer: Contrastive Training for Context Scaling

LongLLaMA, a large language model capable of handling long contexts of 256k tokens or even more.

🖥 Github: https://github.com/cstankonrad/long_llama

📕 Paper: https://arxiv.org/abs/2307.03170v1

🖥 Colab: https://colab.research.google.com/github/CStanKonrad/long_llama/blob/main/long_llama_colab.ipynb

🔗 Dataset: https://paperswithcode.com/dataset/pg-19

https://news.1rj.ru/str/DataScienceT
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🖥 Chat Downloader

A simple tool used to retrieve chat messages from livestreams, videos, clips and past broadcasts.

- YouTube.com
- Zoom.us
- Facebook.com
- Twitch.tv

$ pip install chat-downloader

Using:
# termimal
$ chat_downloader https://www.youtube.com/watch?v=video_link --output chat.json


# Python noscript
from chat_downloader import ChatDownloader

url = 'https://www.youtube.com/watch?v=video_link'
chat = ChatDownloader().get_chat(url)

for message in chat:
chat.print_formatted(message)


🖥 Github
📝 Docs

https://news.1rj.ru/str/DataScienceT
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🖥 Tkinter Designer

An easy and fast way to create a Python GUI 🐍

🖥 Github

https://news.1rj.ru/str/DataScienceT
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Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification

🖥 Github: https://github.com/yuyongcan/benchmark-tta

Paper: https://arxiv.org/pdf/2307.03133v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/imagenet

https://news.1rj.ru/str/DataScienceT
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🔎 DeepOnto: A Python Package for Ontology Engineering with Deep Learning

A package for ontology engineering with deep learning and language model.

pip install deeponto

🖥 Github: https://github.com/KRR-Oxford/DeepOnto
📌 Project: https://krr-oxford.github.io/DeepOnto/

📕 Paper: https://arxiv.org/abs/2307.03067v1

🚀 Dataset: https://paperswithcode.com/dataset/ontolama

https://news.1rj.ru/str/DataScienceT
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Top 6 Algorithms Every Software Engineer Should Know

1) Binary Search Algorithm.

2) Bubble Sort Algorithm.

3) Merge Sort Algorithm

4) Depth-first Search Algorithm

5) Dijkstra’s Algorithm

6) Randomized Algorithm

https://news.1rj.ru/str/DataScienceT
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ML Research Hub pinned Deleted message
⭐️ InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval.

pip install inpars

🖥 Github: https://github.com/zetaalphavector/inpars

📕 Paper: https://arxiv.org/abs/2307.04601v1

🚀 Dataset: https://paperswithcode.com/dataset/beir

https://news.1rj.ru/str/DataScienceT
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📃 File Transfer using UDP Sockets in Python.

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