The Amazon Kinesis Hot Shard Advisor is a CLI tool that simplifies identifying whether you have hot key or hot shard issues on your Kinesis data streams. The tool can also identify whether you are hitting the shard level throughput limit per-second basis.
2022-06-17
否
2025-08-28T14:10:46Z
Prevents you from committing secrets and credentials into git repositories
LLRT(Low Latency Runtime | 低延迟运行时)是一个实验性的轻量级JavaScript运行时,旨在满足对快速高效的Serverless应用程序日益增长的需求。
An integrated shell for working with the AWS CLI.
#计算机科学#Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Garnet 是一个微软开源的高性能的缓存服务器,可兼容现有的Redis Client
NVIDIA Linux open GPU kernel module source
Micronaut是一个基于JVM的框架,用于构建轻量级、模块化的应用程序
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
#大语言模型#Code examples and resources for DBRX, a large language model developed by Databricks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
#多媒体#SRS/4.0,Leo,是一个简单高效的实时视频服务器,支持RTMP/WebRTC/HLS/HTTP-FLV/SRT。
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
#自然语言处理#Pre-trained Chinese ELECTRA(中文ELECTRA预训练模型)
Redshift JDBC Driver. It supports JDBC 4.2 specification.
Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in...
#大语言模型#A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
Rust library for Media over QUIC
#计算机科学#A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.
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