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vertexai-kt-iossimulatorarm64 from group com.hexascribe (version 1.0.0)

A Kotlin multiplatform library that simplifies integration with Google Cloud's Vertex AI PaLM API for generative model creation and training.

Group: com.hexascribe Artifact: vertexai-kt-iossimulatorarm64
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Artifact vertexai-kt-iossimulatorarm64
Group com.hexascribe
Version 1.0.0
Last update 23. June 2023
Organization not specified
URL https://github.com/hexascribe/vertexai-kt
License The Apache License, Version 2.0
Dependencies amount 7
Dependencies kotlin-stdlib-common, koin-core-iossimulatorarm64, ktor-client-content-negotiation-iossimulatorarm64, ktor-serialization-kotlinx-json-iossimulatorarm64, ktor-client-core-iossimulatorarm64, ktor-client-logging-iossimulatorarm64, ktor-client-ios-iossimulatorarm64,
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vertexai-kt-iosarm64 from group com.hexascribe (version 1.0.0)

A Kotlin multiplatform library that simplifies integration with Google Cloud's Vertex AI PaLM API for generative model creation and training.

Group: com.hexascribe Artifact: vertexai-kt-iosarm64
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Artifact vertexai-kt-iosarm64
Group com.hexascribe
Version 1.0.0
Last update 23. June 2023
Organization not specified
URL https://github.com/hexascribe/vertexai-kt
License The Apache License, Version 2.0
Dependencies amount 7
Dependencies kotlin-stdlib-common, koin-core-iosarm64, ktor-client-content-negotiation-iosarm64, ktor-serialization-kotlinx-json-iosarm64, ktor-client-core-iosarm64, ktor-client-logging-iosarm64, ktor-client-ios-iosarm64,
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ngbatis from group org.nebula-contrib (version 1.3.0)

NgBatis is a database ORM framework base NebulaGraph + spring-boot, which takes advantage of the mybatis’ fashion development, including some de-factor operations in single table and vertex-edge, like mybatis-plus. NgBatis 是一款针对 NebulaGraph + Springboot 的数据库 ORM 框架。 借鉴于 MyBatis 的使用习惯进行开发。

Group: org.nebula-contrib Artifact: ngbatis
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Artifact ngbatis
Group org.nebula-contrib
Version 1.3.0
Last update 30. September 2024
Organization not specified
URL https://github.com/nebula-contrib/ngbatis
License Apache License, Version 2.0
Dependencies amount 11
Dependencies client, spring-boot-starter, spring-boot-starter-data-jpa, fastjson, asm, annotations, jsoup, beetl-spring-jdk17, beetl-antlr4.11-support, beetl-springboot-starter-jdk17, commons-text,
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google-cloud-vertexai from group com.google.cloud (version 1.11.0)

VertexAI API Vertex AI is an integrated suite of machine learning tools and services for building and using ML models with AutoML or custom code. It offers both novices and experts the best workbench for the entire machine learning development lifecycle.

Group: com.google.cloud Artifact: google-cloud-vertexai
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Artifact google-cloud-vertexai
Group com.google.cloud
Version 1.11.0
Last update 27. September 2024
Organization Google LLC
URL https://github.com/googleapis/google-cloud-java
License Apache-2.0
Dependencies amount 42
Dependencies grpc-api, jsr305, error_prone_annotations, grpc-stub, grpc-protobuf, api-common, auto-value-annotations, javax.annotation-api, j2objc-annotations, protobuf-java, proto-google-common-protos, proto-google-cloud-vertexai-v1, guava, failureaccess, listenablefuture, checker-qual, gax, google-auth-library-credentials, opencensus-api, grpc-context, google-auth-library-oauth2-http, gax-grpc, grpc-inprocess, grpc-core, grpc-alts, grpc-grpclb, conscrypt-openjdk-uber, grpc-auth, grpc-netty-shaded, gax-httpjson, gson, google-http-client, httpclient, commons-codec, httpcore, opencensus-contrib-http-util, google-http-client-gson, protobuf-java-util, grpc-google-common-protos, proto-google-iam-v1, grpc-google-iam-v1, threetenbp,
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jcobyla from group de.xypron.jcobyla (version 1.4)

COBYLA2 is an implementation of Powell's nonlinear derivative free constrained optimization that uses a linear approximation approach. The algorithm is a sequential trust region algorithm that employs linear approximations to the objective and constraint functions, where the approximations are formed by linear interpolation at n + 1 points in the space of the variables and tries to maintain a regular shaped simplex over iterations. It solves nonsmooth NLP with a moderate number of variables (about 100). Inequality constraints only. The initial point X is taken as one vertex of the initial simplex with zero being another, so, X should not be entered as the zero vector.

Group: de.xypron.jcobyla Artifact: jcobyla
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3 downloads
Artifact jcobyla
Group de.xypron.jcobyla
Version 1.4
Last update 31. May 2022
Organization not specified
URL https://github.com/xypron/jcobyla
License The MIT License
Dependencies amount 0
Dependencies No dependencies
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