πFoundation Model for Endoscopy Video Analysis
π₯ Github: https://github.com/med-air/endo-fm
β© Paper: https://arxiv.org/pdf/2306.16741v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/kumc
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/med-air/endo-fm
β© Paper: https://arxiv.org/pdf/2306.16741v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/kumc
https://t.iss.one/DataScienceT
β€βπ₯3
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 subscription: talk to @Hussein_Sheikho
To request a subscription: talk to @Hussein_Sheikho
β€3π3
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π¨ 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.
π₯ Github: https://github.com/xenova/doodle-dash
π€ Hugging face: https://huggingface.co/blog/ml-web-games
βοΈ Code: https://github.com/xenova/doodle-dash
πDemo: https://huggingface.co/spaces/Xenova/doodle-dash
π Dataset: https://huggingface.co/datasets/Xenova/quickdraw-small
https://t.iss.one/DataScienceT
The goal of this tutorial is to show you how easy it is to make your own ML-powered web game.
π₯ Github: https://github.com/xenova/doodle-dash
π€ Hugging face: https://huggingface.co/blog/ml-web-games
βοΈ Code: https://github.com/xenova/doodle-dash
πDemo: https://huggingface.co/spaces/Xenova/doodle-dash
π Dataset: https://huggingface.co/datasets/Xenova/quickdraw-small
https://t.iss.one/DataScienceT
β€1π1
π¦ Focused Transformer: Contrastive Training for Context Scaling
LongLLaMA, a large language model capable of handling long contexts of 256k tokens or even more.
π₯ Github: https://github.com/cstankonrad/long_llama
π Paper: https://arxiv.org/abs/2307.03170v1
π₯ Colab: https://colab.research.google.com/github/CStanKonrad/long_llama/blob/main/long_llama_colab.ipynb
π Dataset: https://paperswithcode.com/dataset/pg-19
https://t.iss.one/DataScienceT
LongLLaMA, a large language model capable of handling long contexts of 256k tokens or even more.
π₯ Github: https://github.com/cstankonrad/long_llama
π Paper: https://arxiv.org/abs/2307.03170v1
π₯ Colab: https://colab.research.google.com/github/CStanKonrad/long_llama/blob/main/long_llama_colab.ipynb
π Dataset: https://paperswithcode.com/dataset/pg-19
https://t.iss.one/DataScienceT
π3β€1β€βπ₯1
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ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation β»οΈ
π₯ Github: https://github.com/pendu/containergym
β© Paper: https://arxiv.org/pdf/2307.02991v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/openai-gym
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/pendu/containergym
β© Paper: https://arxiv.org/pdf/2307.02991v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/openai-gym
https://t.iss.one/DataScienceT
π1
π₯ 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
π₯ Github
π Docs
https://t.iss.one/DataScienceT
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 script
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)
π₯ Github
π Docs
https://t.iss.one/DataScienceT
β€5π2
π₯ Tkinter Designer
An easy and fast way to create a Python GUI π
π₯ Github
https://t.iss.one/DataScienceT
An easy and fast way to create a Python GUI π
π₯ Github
https://t.iss.one/DataScienceT
π6β€2
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification
π₯ Github: https://github.com/yuyongcan/benchmark-tta
β© Paper: https://arxiv.org/pdf/2307.03133v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/imagenet
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/yuyongcan/benchmark-tta
β© Paper: https://arxiv.org/pdf/2307.03133v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/imagenet
https://t.iss.one/DataScienceT
β€2π2
π DeepOnto: A Python Package for Ontology Engineering with Deep Learning
A package for ontology engineering with deep learning and language model.
pip install deeponto
π₯ Github: https://github.com/KRR-Oxford/DeepOnto
π Project: https://krr-oxford.github.io/DeepOnto/
π Paper: https://arxiv.org/abs/2307.03067v1
π Dataset: https://paperswithcode.com/dataset/ontolama
https://t.iss.one/DataScienceT
A package for ontology engineering with deep learning and language model.
pip install deeponto
π₯ Github: https://github.com/KRR-Oxford/DeepOnto
π Project: https://krr-oxford.github.io/DeepOnto/
π Paper: https://arxiv.org/abs/2307.03067v1
π Dataset: https://paperswithcode.com/dataset/ontolama
https://t.iss.one/DataScienceT
β€3π2
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) Dijkstraβs Algorithm
6) Randomized Algorithm
https://t.iss.one/DataScienceT
1) Binary Search Algorithm.
2) Bubble Sort Algorithm.
3) Merge Sort Algorithm
4) Depth-first Search Algorithm
5) Dijkstraβs Algorithm
6) Randomized Algorithm
https://t.iss.one/DataScienceT
β€7π2
βοΈ InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval.
π₯ Github: https://github.com/zetaalphavector/inpars
π Paper: https://arxiv.org/abs/2307.04601v1
π Dataset: https://paperswithcode.com/dataset/beir
https://t.iss.one/DataScienceT
pip install inpars
π₯ Github: https://github.com/zetaalphavector/inpars
π Paper: https://arxiv.org/abs/2307.04601v1
π Dataset: https://paperswithcode.com/dataset/beir
https://t.iss.one/DataScienceT
π3β€2
π3π2
Django Roadmap
Link 1: https://github.com/HHHMHA/django-roadmap
Link 2:
https://github.com/faresemad/Django-Roadmap
Share this roadmap for your friends
https://t.iss.one/CodeProgrammer
Link 1: https://github.com/HHHMHA/django-roadmap
Link 2:
https://github.com/faresemad/Django-Roadmap
Share this roadmap for your friends
https://t.iss.one/CodeProgrammer
π3