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llama3.cuda is a pure C/CUDA implementation for Llama 3 model.
llama3 implementation one matrix multiplication at a time
👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
A JAX research toolkit for building, editing, and visualizing neural networks.
Github action to retrieve all (added, copied, modified, deleted, renamed, type changed, unmerged, unknown) files and directories.
Set up your GitHub Actions workflow with a specific version of Python
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A library for training and deploying machine learning models on Amazon SageMaker
Turns Data and AI algorithms into production-ready web applications in no time.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A unified, comprehensive and efficient recommendation library
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
A SageMaker Experiment logger class for PyTorch Lightning
System design patterns for machine learning
Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
Open source platform for the machine learning lifecycle
Hydra is a framework for elegantly configuring complex applications
A curated list of awesome actions to use on GitHub
📈 Log and track ML metrics, parameters, models with Git and/or DVC
Blur Detection with OpenCV in Python