🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch

🦜🔗 Build context-aware reasoning applications

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Explanation to key concepts in ML

Examples and guides for using the OpenAI API

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Implementation of some of the parameter decoupling Federated Learning personalization algorithms using the Flower Framework.

Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!

Make huge neural nets fit in memory

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

https://huyenchip.com/ml-interviews-book/

A curated list of references for MLOps

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.