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18 Lessons, Get Started Building with Generative AI π https://microsoft.github.io/generative-ai-for-beginners/
A LaTeX template for thesis/dissertations according to IME/USP guidelines
An implementation for image (tensor) morphological dilation2d and erosion2d in pytorch
Compilation of high-profile real-world examples of failed machine learning projects
fklearn: Functional Machine Learning
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Noteboos With Examples Using Pytorch
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Nβ¦
Build and share delightful machine learning apps, all in Python. π Star to support our work!
I am trying to describe complex matters in simple doodles!
Clean architecture python application sample, with domain layer protected
Working examples from my Medium blog posts.
Generating art using Tensorflow 2.0 and Lucid
A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers.
FaceNet implementation for dog identification
Update a Github release smartly, with a freshly built asset
Fast, flexible and easy to use probabilistic modelling in Python.
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A MNIST-like fashion product database. Benchmark π
Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji
π» A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.