#deep learning models

[usaii]

20 Best Pytorch Datasets to Build Efficient Deep Learning Models | USAII®

Fuel your deep learning models with the 20 best PyTorch Datasets that give you a diversified range of selections, from high-quality voice recognition to NLP processing.

pytorch datasets, Deep Learning Models, PyTorch's tools, PyTorch libraries, machine learning framework, deep neural network, deep learning neural networks, AI applications, AI scientist, Artificial Intelligence Certification Courses, NLP processing

Read more: https://bit.ly/45OQVPS

#ai certification #deep learning frameworks #deep learning models #USAII #best ai certifications #ai professionals #ai course

[xavor]

Modern consumers are well-informed and more confident about their choices. Manufacturers have to deliver products that exactly match consumer expectations, continuously innovate, and ensure delivery at the right time. So, manufacturers need to transform their operations altogether. In recent years, artificial intelligence has emerged at the forefront of modern manufacturing operations to enable manufacturers to revolutionize processes and innovate faster. Applications of Computer vision (CV) are one of the AI solutions that has radically transformed the way manufacturers operate – and that is our topic for this blog.

#artificial intelligence #machine learning #deep learning #machine learning models #deep learning models #learning models

[artiba-ai]

TinyML is a cutting-edge field that brings the transformative power of machine learning (ML) to the performance- and power-constrained domain of tiny devices. Learn all about TinyML (Tiny Machine Learning) in this comprehensive guide.

#Tiny Machine Learning #machine learning #machine learning algorithm #edge computing #embedded systems #deep learning models #Edge AI #TensorFlow Lite

[cbirt]

The synergy among the Nuffield Department of Medicine and the Department of Statistics at the University of Oxford represents a blend of medical expertise with statistical rigor – “The MolSnapper,” built using deep learning, promptly exploring intricate molecular specificity for proteins in 3D conformations. Unlike previous approaches that rely on costly trial and error, Conditioning Diffusion uses deep learning to navigate the maze of molecular interactions with unprecedented efficiency to provide novel medical research solutions.

Their research bridges the gap by making it less complicated to evolve patterns learned from large molecular datasets for pocket-binding applications. MolSnapper employs a controlled and environmentally friendly producing approach to seamlessly combine 3-D structural insights with expert knowledge, revolutionizing the ligand era in pharmaceutical applications. MolSnapper enables researchers to generate molecules from large datasets by providing personalized instruction and enhanced selection. This differs from conventional structure-based drug design approaches, which are stereotypically proficient on restricted protein molecular data.

Precision is imperative in drug design and discovery. Therefore, MolSnapper authenticates this concept by serving to deliver personalized descriptions specific to the investigator’s requirements. With the potential for drug discovery employing deep learning, the path has been opened for personalized medicine intensive on molecular markers unique to particular diseases.

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#bioinformatics #sbdd #drug design #diffusion model #deep learning #science news

[butchdykekondraki]

too many able bodied angels . wheres angels w disabilities . wheres the mentally ill angels . huh . where are they . its not statistically probable for ALL of them to be able bodied and neurotypical

#[ren] #deep sigh. ok reasonably i know its cause most angels were modeled after actual people. but im going to start killing either way ok? #angel who gets really bad back pain from their wings #angel whos blind and uses their wings to feel their surroundings #angel whos deaf and just keeps fucking learning sign language in different languages for fun #angel who uses their sword as a cane #angel who uses their wings to float because they have leg pains #angel who has chronic migraines and cant look at mirrors for too long because theyre so bright #angel who uses their wings to bat away hands from their cane #sorry im. rambling #idk !! too many able bodied angels i think.

[lesbianchemicalplant]

speaking of transformers—when my professor for Deep Learning was introducing them to us (working up from the intuition of what could arguably be improved from RNNs/GRUs/LSTMs/Seq2Seq), he paused for a moment to say:

….and what this resulted in is a paper in 2017 called “Attention Is All You Need”, that introduced an architecture for machine translation called the Transformer model. As a side note, I think it's a terrible name for a neural network architecture, because basically every neural net is a transformer... it transforms an input to an output. I don't know why this one gets to claim that name in particular. Anyway. That's what it's called :/

(the delivery is missing, but you could hear the mix of…. professional yet very clear disappointment / frustration / resentment at the name. especially the “I don't know why this one gets to claim that name in particular” bit)

#He's Right 😹 #imagine having a paper title as cool and snappy and playful as Attention Is All You Need #and then just naming your actual architecture the ''transformer'' model #(this is paraphrased from memory but sent to my gf in a discord DM shortly after it happened) #(so it was still fresh at the time) #my posts #deep learning #transformer models #machine learning

[vermillioncrown]

i'm so consistent

my minor segue about when deliverables for our project are due turned into "no, apr 18th is for taxes"

turned into taxes roundtable -> bullying [first year] about his taxes

[first year] to supe 1: please ask your dad (tax accountant) to help me--

supe 1: --fill out your taxes?

[first year]: --to file an extension 😭 😭

me: [first year], you'll probably forget if you don't do it

supe 1: but it should be easy for him

me: no, he's a first year, which means he was in another state last year. which means he needs to file multi-state taxes

[first year]: 😰

everyone starts giving advice on what to do and he just 🙉: i literally have no idea what you guys are saying i've never seen a tax before

me: OK so [first year] let's talk about what you did for the project this week!

[first year]: oh man that's also fucked. like my taxes

#redglyphs #academic jerky #i also was debugging code all fucking week #only to learn that the model wasn't working bc deep within the model libraries... #the thermodynamic states for the oxygen was to the point of solid. aka fucking nonsense. #supe 1: verm please dont throttle someone #[second year]: if she won't i will #supe 1 apprehensive until we both clarified ''there's a special love language in our office bay'' ''yeah dw about it'' #supe 1 just walks away like 'I Do Not See It'

[ashxxgyu]

He’s 188cm tall I-

#a freelance model #deep unique voice #and he’s never had voice lessons before I- #I need to learn his name hhh #♡₊˚ princess’s diary・₊✧🧸

[sivaniverse]

Foundation Models - Powerhouse behind GenAI

Before getting into details about foundation models, I would like you to take a glance at this picture Artificial Intelligence refers to machines that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, and perception. Simply put Artificial intelligence is using machines to simulate human…

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#AI #artificial intelligence #Artificial intelligence Deep learning models #deep learning #foundation models #gen ai #generative ai #machine learning

[realityfragments]

Artifice Girl

With all that’s being marketed as artificial intelligence out there, this could be an interesting movie for at least some people who might like to see a merging of technology and humanity. If you’re not appreciative of movies driven entirely by dialog, this is not your movie. There’s a bit of suspended disbelief too that may not sit well with some people, but it is a movie and like most things…

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#artifice girl #artificial intelligence #ChatGPT #deep learning #Large Language Model #law enforcement #lolita chatbot #machine learning #movie #negobot #society

[mysocial8one]

Stability AI and DeepFloyd have developed an incredible text-to-image model called DeepFloyd IF. This model can create realistic images from text inputs and even blend text into images in a clever way. Keep reading to learn more about this innovative technology and how you can use it for your own projects.

#artificial intelligence #chatbots #python #open source #software engineering #stability ai #stable diffusion #programming #text2image #large Language Model #machinelearning #deep learning #coding

[xavor]

More simply put, the Metaverse is a digital world that exists similar to our world with enhancements wherever possible. Currently, the Metaverse is abstract and unconnected. In the future, experts believe the Metaverse will be a shared space where users from all over the world will be able to virtually interact for any number of activities.

As the Metaverse is probably the future of social networking, gaming, and industrial design and planning, there is an undeniable commercial aspect to the Metaverse as well.

The Metaverse started gaining popularity after Facebook changed its name to “Meta.” But the social media company isn’t the only one transitioning to incorporate the Metaverse. For example, Microsoft CEO Satya Nadella has mentioned that his company will provide “Metaverse Enterprise Solutions.”

Essentially, this means that there will be various business applications for the Metaverse enterprise solutions. If you’d like to learn about our take on what these business applications could be, please continue reading.

#artificial intelligence #machine learning #deep learning #machine learning models #deep learning models #learning models #ai ml

[cyberlabe]

Application-based taxonomy of transformer models

#deep learning #language-models #ia générative #intelligence artificielle #transformers

[cbirt]

As computationally generated molecules become more popular in the fields of drug development and biotechnology, ease of synthesis becomes a common problem. Often, the molecules generated by machine learning models may be challenging to synthesize and may require many steps, making it too expensive for production. A new deep learning model DeepSA, developed by researchers from ShanghaiTech University, China, seeks to solve this problem by identifying the synthetic accessibility of various compounds without the need for human input.

With new developments in artificial intelligence, the use of computational tools to generate novel molecules has become much more widespread. However, a few problems arise with computationally derived molecules, namely how easy they are to synthesize: a characteristic known as a compound’s synthetic accessibility. Computational capacity to generate new molecules is mostly utilized in the field of computer-aided drug design and, more specifically, AI-aided drug design. This drastically reduces the time needed to formulate new compounds and reduces expenses significantly. CADD is performed using many methods, one of which is fragment-based drug design. Using a specific structure as a target, this method involves the performance of a virtual screening on a library of molecular fragments to procure ligand fragments, after which several rounds of optimization and modification are performed according to the required parameters to obtain the desired compound. However, some compounds achieved through this process can be challenging to synthesize, making them too costly for industrial production.

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#bioinformatics #drug design #deep learning #language models

[atozofsoftwareengineering]

Exploring Popular Machine Learning Tools and Their Impactful Case Studies

Hey friends! Check out this insightful blog on popular machine learning tools like #TensorFlow, #PyTorch, #ScikitLearn, #Keras, and #ApacheSparkMLlib. Explore their features, use cases, and how they enable us to build powerful machine learning models.

In recent years, the field of machine learning has witnessed remarkable growth and advancement, enabling transformative changes in various industries. One of the driving forces behind this progress is the availability of powerful machine learning tools. These tools facilitate the development and deployment of complex machine learning models, making it easier for researchers, data scientists, and…

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#algorithms #Apache Spark MLlib #big data processing #cancer diagnosis #case studies #computer vision #data preprocessing #DataFrame API #deep learning #deployment #Distributed Computing #estimators #evaluation #Feature Engineering #fraud detection #Keras #machine learning #model persistence #Model Selection #natural language processing #personalized recommendations #pipelines #predictive maintenance #PyTorch #recommender systems #scalability #Scikit-learn #TensorFlow #tools #transformers

[jamalir]

[2305.03053] ZipIt! Merging Models from Different Tasks without Training

#machine learning #ml #deep learning #open source #model merge