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DL learning📖
Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters
A demo application using fal.realtime and the lightning fast SDXL API provided by fal
Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html. Contains Linear and Logistic Regression,…
LLaMA 2 implemented from scratch in PyTorch
iclr-blogposts.github.io
Go from no deep learning knowledge to implementing GPT.
The fastai book, published as Jupyter Notebooks
Absolute minimalistic implementation of a GPT-like transformer using only numpy (<650 lines).
Python interactive dashboards for learning data science
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
llama3.np is a pure NumPy implementation for Llama 3 model.
llama3 implementation one matrix multiplication at a time
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples