Practical Deep Learning For Coders is one of the best FREE courses for those who want to learn Deep Learning. • Build, train, and deploy models
• CV/NLP
• Tabular analysis
• Random forests and regression
• PyTorch, Fast AI, Hugging Face https://
course.fast.ai
MACHINE LEARNING
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Free Deep Learning Course: Build, Train, Deploy Models with PyTorch
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Neural Operators Library Launch and Community Contribution
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Great to see #NeuralOperators take off. Check out our unified library on #NeuralOperators and contribute to it https://
github.com/neuraloperator @JeanKossaifi @Azizzadenesheli @ZongyiLiCaltech -
Will Machines Replace Human Creativity?
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Will Machines Replace Human Creativity?
by @farseevs @Forbes Learn more: https://
buff.ly/3TKuvtc #AI #BigData #MachineLearning #ArtificialIntelligence #ML #MI #Digital #DataScience #DeepLearning cc: @ronald_vanloon @kuriharan @ravikikan -
Daily Python, Machine Learning and Language Models Education
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That's a wrap. Every day, I share and simplify complex concepts around Python, Machine Learning & Language Models. Follow me → @Sumanth_077 if you haven't already to ensure you don't miss that. Like/RT the first tweet to support my work and help this reach more people
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Breakthrough in Combinatorics: Ramsey Numbers Bounds Advance
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I like to think of the first talk on a work as the "world premiere." The fact that this one premiered simultaneously at multiple locations is even better. (For some context: a breakthrough in combinatorics regarding bounds on Ramsey numbers https://
x.com/Methemedantics
/status/1636562848364077057
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ESM Atlas Updated with 740M Metagenomic Protein Structures
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The updated ESM Atlas is live now and includes 740M+ metagenomic protein structures + pre-computed ESM2 embeddings for these proteins. We can't wait to see what others in the field are able to do with this expanded resource https://
bit.ly/3YUON5n 3/3 -
ESM Atlas Expands with 121M New Protein Structures
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We launched the ESM Atlas in November with 600M+ metagenomic protein structures. With updates to @emblebi
's MGnify dataset, today we're expanding this with 121M new protein structures folded in just 6 days with ESMFold on spare compute capacity. 2/3 -
Meta AI Breakthrough: Language Model Accelerates Protein Folding 60x
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New in @ScienceMagazine — Meta AI researchers developed a breakthrough model for protein folding by using a large language model that can accelerate folding up to 60x — with the potential to aid work in medicine, green energy & more. More details in
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Hypothesis Testing Methods for Effective Data Collection
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Hypothesis Testing in Data Science: Defining a hypothesis allows you to collect data effectively and determine whether it provides enough evidence to support your hypothesis. https://
kdnuggets.com/2023/02/hypoth
esis-testing-data-science.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=hypothesis-testing-in-data-science
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Explainability Key To Unlocking Next Era Of AI
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Explainability Is Key To Unlocking The Next Era Of #AI
by @Abakar @Forbes Go to: https://
buff.ly/3gXIlKl #ArtificialIntelligence #Digital #DataScience #Tech #Technology #MachineLearning cc: @bigdata @ravikikan @aghiathchbib