Stars
Master programming by recreating your favorite technologies from scratch.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage
What happens behind the scenes when we type www.google.com in a browser?
This repository contains demos I made with the Transformers library by HuggingFace.
A collection of small bash scripts for heavy terminal users
The Missing Semester of Your CS Education 📚
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
A complete course for learning Bitcoin programming and usage from the command
🌱 a curated list of tools to help you with your research/life; I built a front end around this repo, please use the link below [This repo is deprecated. Instead, I maintain all the contents using t…
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Collection of awesome medical dataset resources.
A collection of resources on applications of Transformers in Medical Imaging.
📖 An opinionated intermediate/advanced Git book
[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.
tracking medical datasets, with a focus on medical imaging
A series of blog posts and talks about the world of containers 📦
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kern…