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A dictionary app built with Next.js/TypeScript and Supabase. Data powered by Free Dictionary API.
7 projects to understand Next.js core concepts, using MongoDB, Firebase and NextAuth.js.
A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.
Offical code for "Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping"
An awesome README template to jumpstart your projects!
This repository contains a simplified federated learning codebase designed mainly for personal or educational purposes. You can use the code from this repo for a commercial use too. However, we wil…
MATLAB code for paper "F3KM: Federated, Fair and fast k-means"
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
A lightweight, powerful framework for multi-agent workflows
Codebase for An Efficient Framework for Clustered Federated Learning.
Federated k-means clustering algorithm implementation and proof of concept.
Build resilient language agents as graphs.
A collection of Google research projects related to Federated Learning and Federated Analytics.
Contains solutions and notes for the Machine Learning Specialization by Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
O'Reilly book - Building Machine Learning Systems with a feature store: batch, real-time, and LLMs
Official PyTorch implementation of improved B-cos models
A curriculum for dipping your toes in Fullstack AI
Material del curso de Deep Learning de la Universidad de Chile
The code samples for Learning React by Alex Banks and Eve Porcello, published by O'Reilly Media