That's it. Thanks for reading. Every day, I share tutorials around Python & Machine Learning. Follow me @Sumanth_077 If you like this content you will definitely love my newsletter as well. Subscribe here: http://
mlnewsletter.substack.com
MACHINE LEARNING
-
Daily Python and Machine Learning Tutorials Newsletter Subscription
By
–
-
Hugging Face Diffusers: Pre-trained Diffusion Models for Vision and Audio
By
–
4. Hugging Face Diffusers We are noticing the recent trend with applications using Diffusion Models either it can be Stable Diffusion or Dalle E Diffusers library provide you with pre trained diffusion models across vision and audio. Check this: https://
github.com/huggingface/di
ffusers
… -
Flair: Advanced NLP Library for State-of-the-Art Text Processing
By
–
3. Flair Flair is an NLP library that allows you to apply state-of-the-art NLP models especially to the text. https://
github.com/flairNLP/flair -
Cog: Open-Source Tool for Packaging ML Models in Containers
By
–
2. Cog Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container. And you can deploy that packaged model to your own infrastructure. Check this: https://
github.com/replicate/cog -
Hidden Python Libraries for Machine Learning Beyond the Basics
By
–
Pandas, Numpy, Matplotlib, Seaborn, and Tensorflow are the standard and most commonly used python libraries in ML. But here's a list of Libraries that you might be unaware of but are really handy in working with Machine Learning Problems:
-
Transformers from Hugging Face: Pretrained Models for Text, Vision, Audio
By
–
1. Transformers from Hugging Face Transformers library provides you with thousands of pretrained models to perform tasks on text, vision, and audio. This will help you with leveraging the already existing models instead of building them from scratch. https://
github.com/huggingface/tr
ansformers
… -
Data Oriented Architectures arXiv Paper Feedback Request
By
–
We would love input and feedback on this arXiv paper on Data Oriented Architectures from the AutoAI team here in Cambridge. https://
arxiv.org/abs/2302.04810 -
Machine Learning Algorithms Models Defined AI Glossary Series
By
–
In this @Cognilytica #AIToday #podcast AI Glossary Series episode, 'Machine Learning, Algorithm, Model' hosts @rschmelzer & @kath0134 define these terms, explain how they relate to #AI and why it’s important to know about them. Full episode: https://
aidatatoday.com/ai-today-podca
st-ai-glossary-machine-learning-approaches-supervised-learning-unsupervised-learning-reinforcement-learning/?utm_source=dlvr.it&utm_medium=twitter
…
#tech #data… -
Metis AI Platform Disrupts Computer Vision Market at WAI Cannes
By
–
We’re live at the @WAICANNES talking about the market, trends and challenges in #AI #ComputerVision and how our Metis AI platform is going to disrupt the market. #WAICF23
-
AI cannot be 100% accurate, so users must accept risk
By
–
Unpopular opinion: AI cannot be 100% accurate. If you are using AI you have to accept a risk to be wrong. And if you reach 100% accurate results, you do not have to use AI at first.