Dimitris Katsios

ML Engineer at LPIXEL. Board Director at MLT

[Dimitris Katsios @dkatsios]

@kimonas324 @ThanosTzimeros αν ανεβάζει ενημερώσεις για τέτοιου είδους εγκλήματα εξίσου από ετεροφυλόφιλα και ομοφυλόφιλα ζευγάρια τότε δεν με πειράζει κάτι. Αν όμως υπάρχει προτίμηση στην ανάδειξη εγκλημάτων μίας συγκεκριμένης ομάδας, τότε αυτό με πειράζει. Επειδή δείχνει bias ενάντια σε αυτή την ομάδα.

[Dimitris Katsios @dkatsios]

@suzatweet Nexus

[Andrew Ng @AndrewYNg]

Announcing new aisuite capability: Easy function calling with LLMs! Function calling (tool use) is an important capability for agentic workflows and other LLM applications, but is cumbersome for developers to use (left column in image). Our open-source aisuite package simplifies it to just one command (right column), and works for multiple LLM providers.

Hope this makes implementing agents easier for developers, and thanks Rohit Prsad & team for working with me on this!

https://t.co/gwz9oKTCFx

[Philipp Schmid @_philschmid]

A small, portable vector database powered by SQLite for on-device RAG? 🤯 sqlite-vec is a new vector search SQLite extension written entirely in C with no dependencies, MIT/Apache-2.0 dual licensed.  

sqlite-vec queries:
- 1 million 128-dimensional vectors in just 17ms
- 500,000 with 960-dimensional vectors in 41ms

sqlite-vec supports:
💾 Matryoshka embedding slicing
💡 Binary quantization reduces storage by 32x with minimal accuracy loss
🤏🏻 L2, cosine and Hamming distance calculations
🧮 Retrieval against Python List and NP Arrays
🛠️ SDKs for Python, Javascript, Go, Rust, Wasm and more
🧠 local direct embedding with “sqlite-lembed” for gguf models and @ggerganov Llama.CPP
☁️ remote embedding with “sqlite-rembed” for @OpenAI compatible APIs

[Dimitris Katsios @dkatsios]

https://t.co/iCUqjkf49b

[Dimitris Katsios @dkatsios]

I'm experimenting with Keras 3.0 and was trying to use the API (compile(), fit() etc.) on a pytorch (nn.Module) model. Couldn't find exactly how to do it. E.g. take torchvision resnet18 make a keras.Model out of it and compile/fit it. Anyone how can point me to some code?

[Dimitris Katsios @dkatsios]

@karpathy then watch this

https://t.co/rvXLTgWT9M

[MLT & AI Communities @__MLT__]

Join us today for Deep Learning with Python Chapter 3: Introduction to Keras and TensorFlow 🙌 with @dkatsios #MachineLearning

https://t.co/R665mlVaTo

[MLT & AI Communities @__MLT__]

Join us tomorrow for "Deep Learning with Python: Mathematical building blocks of neural networks (Chapter 2)" with @dkatsios
#machinelearning #deeplearning #math

🤖 https://t.co/qxF15CMMxp

[Suzana Ilić @suzatweet]

Super excited to kick off weekly study sessions at @__MLT__ where we'll go through @fchollet's "Deep Learning with Python" and notebooks, led by the amazing @dkatsios! 🙌 Best time to get into Deep Learning! Join us for the first session here https://t.co/mooLr2Obth

[François Chollet @fchollet]

Announcement: my book Deep Learning with Python (2nd edition) has been released.

500 pages of code examples, theory, context, practical tips... If you want to really understand how deep learning works, why it matters, and how to use it, this is your book!
https://t.co/LvbEy5A0k8

[Dimitris Katsios @dkatsios]

is there something like this for detection models?
https://t.co/7OSDhEcFXp

[Dimitris Katsios @dkatsios]

@__MLT__ @alisher_ai @the_asir @JohnKSLau @dallarosajp @yoovraj @anugrahasinha @rheza_h @juanjo12x @shripadtheneo @hiroshiu12 yeah, I think we have to fix this

[MLT & AI Communities @__MLT__]

Do you want to learn to read original papers and implement deep learning models from scratch? @dkatsios walks you through CNN Architectures, including notebooks, network visualizations and videos!

https://t.co/it1L44fxiU

[Dimitris Katsios @dkatsios]

@ludwig_stumpp @__MLT__ sure: https://t.co/YA1yYl2oev

[François Chollet @fchollet]

Keras has a new website, which includes a 100% refreshed list of developer guides and code examples.

https://t.co/m6mT8SrKDD

[MLT & AI Communities @__MLT__]

Learn how to implement a CNN Architecture from a paper:
@dkatsios released a new notebook and the video tutorial for "ShuffleNet: An Extremely Efficient CNN for Mobile Devices".

📚 Notebook: https://t.co/6e0Aoh83X0
🧑‍🏫 Video tutorial: https://t.co/eR6HS3Xd7x

[Dimitris Katsios @dkatsios]

@deepgradient @__MLT__ the final model diagram is drawn manually (https://t.co/YA1yYl2oev)

[MLT & AI Communities @__MLT__]

Learn how to implement a CNN Architecture from a paper:
@dkatsios released a new notebook and the video tutorial for DenseNet – "Densely Connected Convolutional Networks".

📚Notebook: https://t.co/0VOCbAPdSZ
📚Video tutorial: https://t.co/VAZJhtg4vI