Framework

Taro 3.5.6 released, unified framework for BAT applet, H5 and RN side – News Fast Delivery

Taro 3.5.6 is now available. Taro is an open cross-end and cross-framework solution that supports the use of frameworks such as React/Vue/Nerv to develop WeChat/JD/Baidu/Alipay/ByteDance/QQ Mini Programs/H5 and other applications. The specific updates are as follows: characteristic Applets Support for compiling native custom components with Vue3 RN React-native is used by default 0.69 version, and […]

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ZLMediaKit: A lightweight streaming media framework implementing RTSP/RTMP/HLS/HTTP protocols, supporting large concurrent connection requests

Project Features Based on C++11 development, the use of bare pointers is avoided, the code is stable and reliable, and the performance is superior. Supports multiple protocols (RTSP/RTMP/HLS/HTTP-FLV/WebSocket-FLV/GB28181/HTTP-TS/WebSocket-TS/HTTP-fMP4/WebSocket-fMP4/MP4/WebRTC), and supports protocol interchange. Developed using multiplexing/multithreading/asynchronous network IO mode, it has superior concurrent performance and supports massive client connections. The code has undergone a large number

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Vitest v0.23.4 released, native Vite testing framework

Vitest v0.23.4 is now released, it is a native rapid unit testing framework based on Vite. Specific updates are as follows Features provide useful information when using vi.mock #2047 Benchmarks: mode only #2039 Bug fixes Move outputFile to benchmarks, allow –reporter to benchmark #2037 cli: forward node wasm flags #2041 Coverage :istanbul-reports support projectRoot #2051

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Recommended by Gitee | iFLearner, a powerful and lightweight federated learning framework

iFLearner is a powerful and lightweight federated learning framework that provides a computing framework based on data privacy security protection, mainly for federated modeling in deep learning scenarios. Its security bottom layer supports various encryption technologies such as homomorphic encryption, secret sharing, and differential privacy. The algorithm layer supports various deep learning network models, and

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OLAP Engine Query Performance Evaluation Framework on Cloud: Design and Implementation

author:Gu Rong, Nanjing University,Wu Dongyu A public cloud is a platform that provides users with economical and convenient computing resources. With the rapid development of cloud computing technology and the increasing demand for big data query, more and more OLAP engine services on the cloud have appeared in the cloud computing application market of many

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MegEngine is a fast, scalable, easy-to-use deep learning framework that supports automatic derivation. It has three core advantages: integrated training and inference, ultra-low hardware thresholds, and efficient inference on all platforms. It can help enterprises and developers to greatly save products from experimentation. The process from room prototype to industrial deployment can truly achieve hour-level transformation capabilities. As the core component of Brain++, Megvii’s next-generation AI productivity platform, MegEngine was officially open sourced to global developers in March 2020.

MegEngine is a fast, scalable, and easy-to-use deep learning framework with three key features: Integration of training and reasoning: the same core for training and reasoning, model structure, quantization, pre- and post-processing, dynamic shape and even derivation can be put into the model for reasoning, and the training and reasoning can be easily aligned to

MegEngine is a fast, scalable, easy-to-use deep learning framework that supports automatic derivation. It has three core advantages: integrated training and inference, ultra-low hardware thresholds, and efficient inference on all platforms. It can help enterprises and developers to greatly save products from experimentation. The process from room prototype to industrial deployment can truly achieve hour-level transformation capabilities. As the core component of Brain++, Megvii’s next-generation AI productivity platform, MegEngine was officially open sourced to global developers in March 2020. Read More »

FastDFS V6.09 released, integrating the network framework libserverframe – News Fast Delivery

FastDFS V6.09Release, major improvement: Introduce web framework librarylibserverframereplace the originaltracker nioandstorage niotwo modules. 2015yearlibserverframefromFastDFSofniomodule extracted, nowFastDFSuselibserverframemakes the code more concise and efficient, and solves the long-standing onebug: The network thread receives the client request and transfers the file read and write to the diskIOAfter the thread, if the client disconnects during the disk thread processing,

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One-stop development framework Go-Spring released v1.1.2 version – News Fast Delivery

Only two weeks after the last release, Go-Spring, the one-stop development framework for Go backend, has released a new version. The new version implements two very important features: dynamic configuration and bean sharing. Dynamic configuration Sometimes we want to be able to modify the configuration of the program and change the behavior of the program

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Fresh 1.1 officially released, Deno full-stack web framework – News Fast Delivery

Fresh 1.1 stable version has been released, the new version contains many important improvements to make Fresh easier to use, faster, and more useful. Fresh is Deno’s new full-stack web framework. By default, web pages built with Fresh do not send JavaScript to the client. The framework has no build steps and can reduce deployment

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Recommended by Gitee | Dynamic cross-end development framework

Hummer is a set of high-performance and high-availability cross-end development framework, a set of codes can support the development of Android and iOS applications at the same time. Now it supports four syntaxes of Vue/React/TypeScript/JavaScript. It is aimed at big front-end developers. There is always one suitable for you. #Recommended #Gitee #Dynamic #crossend #development #framework

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The wind of large models also needs an underlying AI framework to land – News Fast Delivery

Since the development of deep learning, some “big model” achievements have appeared in many fields such as language, vision, recommendation, code generation, etc., which constantly refreshes people’s cognition and imagination of AI. Deep learning relies on the training of a large amount of data, and the “big model” has more parameters and more complex functions.

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ulthon_admin v2.0.19 released, PHP background rapid development framework

In this release, the underlying construction code is optimized and a powerful feature is implemented (for me): Generate database migration code from database Usage What is the database migration tool ulthon_admin The standard installation process is to use the database migration tool For installation, he can not only install to the mysql database, but also

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EasyNLP Homepage, Documentation and Downloads – Chinese NLP Algorithm Framework – News Fast Delivery

As BERT, Megatron, GPT-3 and other pre-training models have achieved remarkable results in the field of NLP, more and more teams are devoted to ultra-large-scale training, which makes the scale of training models develop from 100 million to 100 billion or even trillions scale. However, there are still some challenges in applying such very large-scale

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Alibaba Cloud Machine Learning PAI Open Source Chinese NLP Algorithm Framework EasyNLP, Helping NLP Large Model Landing

Author: Presence, Cen Ming, Xiong Xi A guide As BERT, Megatron, GPT-3 and other pre-training models have achieved remarkable results in the field of NLP, more and more teams are devoted to ultra-large-scale training, which makes the scale of training models develop from 100 million to 100 billion or even trillions scale. However, there are

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