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Easily fine-tune, evaluate and deploy Qwen3, DeepSeek-R1, Llama 4 or any open source LLM / VLM!
Fast and customizable framework for automatic ML model creation (AutoML)
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Lightweight, useful implementation of conformal prediction on real data.
Free MLOps course from DataTalks.Club
SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.
cell detection in calcium imaging recordings
Python code for "Probabilistic Machine learning" book by Kevin Murphy
End-user version of the Mouse Action Recognition System (MARS)
For developers and people training MARS models
Python notebooks for a tutorial on neurosymbolic programming
🧠 A study guide to learn about Transformers
🎓 Sharing machine learning course / lecture notes.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
https://huyenchip.com/ml-interviews-book/
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
A deep learning framework for multi-animal pose tracking.
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
🛤 Detection of elements in viewport & smooth scrolling with parallax.
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch