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An easy-to-use framework for large scale recommendation algorithms.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
A flexible, high-performance serving system for machine learning models
Model analysis tools for TensorFlow
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Recommendation System using Factorization Machines - AWS SageMaker NoteBook Instance
Official repo for VideoComposer: Compositional Video Synthesis with Motion Controllability
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
PyTorch package for the discrete VAE used for DALL·E.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Example models using DeepSpeed
This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by CIKM2022. The codes will be released soon.
show how to use tensorflow estimator train and export model, then serving model and call for prediction
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
RSTutorials: A Curated List of Must-read Papers on Recommender System.