Popular GitHub Repositories for Mha Elm

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Extreme Learning Machine implemented in Pytorch

Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.

Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.

A Numpy Implementation of Extreme Learning Machine (ELM)

Making generative art in Elm

Developed to assist in managing day-to-day operations of a mobile automotive diagnostic, and car key replacement business. This project integrates several technologies to improve hands-free interaction while driving. Automotive-AI can be customized for 2-way interaction with any available API services.

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

An efficient and scalable attention module designed to reduce memory usage and improve inference speed in large language models. Designed and implemented the Multi-Head Latent Attention (MLA) module as a drop-in replacement for traditional multi-head attention (MHA) in large language models.

Extreme Learning Machines Framework with Python and TensorFlow

An easy-to-use independent machine learning library for .net. It offers MLP models (including deep RVFL aka ELM) for common ML tasks as well as Reservoir Computer for efficiently solving ML tasks on time series data.

Accurate 3D geometry estimation from monocular images with MoGe. Explore metric point maps, depth maps, and more. ??

Code repository for training Taiwan-ELM models, including data preprocessing, tokenizer development, and model fine-tuning.

An Elm package that can be used in chatbots for your websites!