#计算机科学#DeepSpeed Chat: 一键式RLHF训练，让你的类ChatGPT千亿大模型提速省钱15倍
#计算机科学#Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
A state-of-the-art multithreading runtime: message-passing based, fast, scalable, ultra-low overhead
飞桨大模型开发套件，提供大语言模型、跨模态大模型、生物计算大模型等领域的全流程开发工具链。
#自然语言处理#LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
#计算机科学#Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
#计算机科学#Distributed Keras Engine, Make Keras faster with only one line of code.
#计算机科学#Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
#计算机科学#Orkhon: ML Inference Framework and Server Runtime
Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*
#计算机科学#Distributed training (multi-node) of a Transformer model
#计算机科学#SC23 Deep Learning at Scale Tutorial Material
#计算机科学#WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
#计算机科学#Deep Learning at Scale Training Event at NERSC
♨️ Optimized Gaussian blur filter on CPU.
This repository provides hands-on labs on PyTorch-based Distributed Training and SageMaker Distributed Training. It is written to make it easy for beginners to get started, and guides you through step...
☕Implement of Parallel Matrix Multiplication Methods Using FOX Algorithm on Peking University's High-performance Computing System
#大语言模型#Fast and easy distributed model training examples.