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Stars
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.
Technique of Ordered Dropout as used in the paper "Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout", NeurIPS'21
A patched version of the PPMZ compressor, modified to build on Mac OS X.
Catálogo de proyectos open source útiles para estudiantes de la Universidad de Chile
CLI tool for configuring and monitoring Claude Code
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.