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Showing 10046 open source projects for "using class net.sourceforge.jtds.jdbc.driver"

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  • 1
    crystalline

    crystalline

    A Language Server Protocol implementation for Crystal

    ...) method definitions, macros or module/class/struct names or symbols available in the current context. A whole document or a text selection. By clicking on a symbol with the Cmd or Ctrl key pressed (editor/platform dependent). Hovering should display (when possible) either a variable type, a function definition signature or the expanded macro.
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  • 2
    Segmentation Models

    Segmentation Models

    Segmentation models with pretrained backbones. PyTorch

    Segmentation models with pre trained backbones. High-level API (just two lines to create a neural network) 9 models architectures for binary and multi class segmentation (including legendary Unet) 124 available encoders (and 500+ encoders from timm) All encoders have pre-trained weights for faster and better convergence. Popular metrics and losses for training routines. All encoders have pretrained weights. Preparing your data the same way as during weights pre-training may give you better...
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  • 3
    gopy

    gopy

    gopy generates a CPython extension module from a go package

    This is an improved version that works with current versions of Go (e.g., 1.15 -- should work with any future version going forward), and uses unique int64 handles to interface with python, so that no pointers are interchanged, making everything safe for the more recent moving garbage collector. It also supports python modules having any number of Go packages, and generates a separate .py module file for each package, which link into a single common binding library. It has been tested...
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  • 4
    Rules Engine

    Rules Engine

    A Json based Rules Engine with extensive Dynamic expression support

    A Json-based Rules Engine with extensive Dynamic expression support. RulesEngine is a highly extensible library to build a rule-based system using C# expressions. Rules Engine is a library/NuGet package for abstracting business logic/rules/policies out of a system. It provides a simple way of giving you the ability to put your rules in a store outside the core logic of the system, thus ensuring that any change in rules don't affect the core system. You need to store the rules based...
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  • 5
    jsii

    jsii

    jsii allows code in any language to naturally interact with JavaScript

    jsii allows code in any language to naturally interact with JavaScript classes. It is the technology that enables the AWS Cloud Development Kit to deliver polyglot libraries from a single codebase! A class library written in TypeScript can be used in projects authored in TypeScript or Javascript (as usual), but also in C# (and other languages from the .NET family), Go, Java, Python, etc. More languages will be added in the future! Due to JSON marshaling costs and the absence of a distributed...
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  • 6
    Lux

    Lux

    The Lux Programming Language

    Lux is a new programming language in the making. It's meant to be a functional, statically-typed Lisp that will run on several platforms, such as the Java Virtual Machine and JavaScript, Python, Lua, or Ruby interpreters. Lux is in the beta stage. The JVM compiler is pretty stable and the standard library has grown to a respectable size. Also, new experimental support for JavaScript, Python, Lua, and Ruby has been added. Read carefully before using this project, as the license disallows...
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  • 7
    ThingPulse ESP8266 Weather Station

    ThingPulse ESP8266 Weather Station

    ESP8266 Weather Station library supporting OpenWeatherMap

    This code works best with the NodeMCU V2 ESP8266 module and an 0.96" OLED display. To get you up and running in no time we created a kit that contains all the necessary parts. By buying this and other kits from us you are funding the maintenance and development of this library. Make sure you use a version of the Arduino IDE which is supported by the ESP8266 platform. If you are using the PlatformIO environment for building, choose one of the available IDE integration or the Atom-based IDE...
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  • 8
    jsonschema2pojo

    jsonschema2pojo

    Generate Java types from JSON or JSON Schema for data-binding

    Generate plain old Java objects from JSON or JSON-Schema. For each property present in the 'properties' definition, we add a property to a given Java class according to the JavaBeans spec. A private field is added to the parent class, along with accompanying accessor methods (getter and setter). If additionalProperties is specified and set to the boolean value false, then the generated Java type does not support additional properties. If the additionalProperties node is undefined (not present...
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  • 9
    JSS

    JSS

    An authoring tool for CSS which uses JavaScript as a host language

    ... on CodeSandbox. JSS generates actual CSS, not Inline Styles. It supports every existing CSS feature. CSS rules are created once and reused across the elements using its class name in contrary to Inline Styles. Also, when DOM elements get updated, previously created CSS rules are applied. JSS generates unique class names by default. It allows avoiding the typical CSS problem, where everything is global by default. It completely removes the need for naming conventions.
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  • 10
    Lapis

    Lapis

    A web framework for Lua and OpenResty written in MoonScript

    Lapis is a framework for building web applications in Lua (or MoonScript) that primarily targets OpenResty, a high-performance web platform that runs on a customized version of Nginx. Lapis can also be used in other server environments, being compatible with any modern version of Lua. With OpenResty, Lua is run directly inside of the Nginx worker using LuaJIT, giving you the smallest barrier between the webserver and your code. Have a look at Web Framework Benchmarks just to see how OpenResty...
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  • 11
    CxxWrap

    CxxWrap

    Package to make C++ libraries available in Julia

    This package aims to provide a Boost. Python-like wrapping for C++ types and functions to Julia. The idea is to write the code for the Julia wrapper in C++, and then use a one-liner on the Julia side to make the wrapped C++ library available there. The mechanism behind this package is that functions and types are registered in C++ code that is compiled into a dynamic library. This dynamic library is then loaded into Julia, where the Julia part of this package uses the data provided through a...
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  • 12
    Video Diffusion - Pytorch

    Video Diffusion - Pytorch

    Implementation of Video Diffusion Models

    .... For conditioning on text, they derived text embeddings by first passing the tokenized text through BERT-large. You can also directly pass in the descriptions of the video as strings, if you plan on using BERT-base for text conditioning. This repository also contains a handy Trainer class for training on a folder of gifs. Each gif must be of the correct dimensions image_size and num_frames.
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  • 13
    GraphQL Kotlin

    GraphQL Kotlin

    Libraries for running GraphQL in Kotlin

    ... and changes in either have to be reflected in both locations. As your schema scales to hundreds of types and many different resolvers, it can get more difficult to track what code needs to be changed if you want to add a new field, deprecate or delete an existing one, or fix a bug in the resolver code. graphql-kotlin-schema-generator aims to simplify this process by using Kotlin reflection to generate the schema for you. All you need to do is write your schema code in a Kotlin class.
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  • 14
    routing-controllers

    routing-controllers

    Create structured, declarative and beautifully organized controllers

    Create structured, declarative, and beautifully organized class-based controllers with heavy decorators usage in Express / Koa using TypeScript and routing controllers framework. Allows creating controller classes with methods as actions that handle requests. You can use routing-controllers with express.js or koa.js. You can return a promise in the controller, and it will wait until promise resolved and return promise result in a response body. You can use framework's request and response...
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  • 15
    Flask-Caching

    Flask-Caching

    A caching extension for Flask

    Flask-Caching is an extension to Flask that adds caching support for various backends to any Flask application. By running on top of cachelib it supports all of werkzeug’s original caching backends through a uniformed API. It is also possible to develop your own caching backend by subclassing flask_caching.backends.base.BaseCache class. Flask’s pluggable view classes are also supported. To cache them, use the same cached() decorator on the dispatch_request method. Using the same @cached...
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  • 16
    TypeScript Express Starter

    TypeScript Express Starter

    Quick and Easy TypeScript Express Starter

    Express consists of JavaScript, which makes it vulnerable to type definitions. That's why we avoid supersets with starter packages that introduce TypeScript. The package is configured to use TypeScript instead of JavaScript. Express is a fast, open and concise web framework and is a Node.js based project. npx is a tool in the JavaScript package management module, npm. This is a tool that allows you to run the npm package on a single run without installing the package. If you do not enter a...
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  • 17
    django-rest-framework-gis

    django-rest-framework-gis

    Geographic add-ons for Django REST Framework

    ... responses but may become an issue for large responses. The primary key of the model (usually the "id" attribute) is automatically used as the id field of each GeoJSON Feature Object. The GeoJSON specification allows a feature to contain a boundingbox of a feature. GeoFeatureModelSerializer allows two different ways to fill this property. The first is using the geo_field to calculate the bounding box of a feature.
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  • 18
    High-Level Training Utilities Pytorch

    High-Level Training Utilities Pytorch

    High-level training, data augmentation, and utilities for Pytorch

    ... loading, or sampling functions. ModuleTrainer. The ModuleTrainer class provides a high-level training interface that abstracts away the training loop while providing callbacks, constraints, initializers, regularizers, and more. You also have access to the standard evaluation and prediction functions. Torchsample provides a wide range of callbacks, generally mimicking the interface found in Keras.
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  • 19
    Imagen - Pytorch

    Imagen - Pytorch

    Implementation of Imagen, Google's Text-to-Image Neural Network

    Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior...
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  • 20
    Aws::Record

    Aws::Record

    Aaws-record gem, an abstraction for Amazon DynamoDB

    A data mapping abstraction over the AWS SDK for Ruby's client for Amazon DynamoDB. This library is currently under development. More features will be added as we approach general availability, and while our initial release has as small of an API surface area as possible, the interface may change before the GA release. We would like to invite you to be a part of the ongoing development of this gem. We welcome your contributions, and would also be happy to hear from you about how you would...
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  • 21
    SageMaker TensorFlow

    SageMaker TensorFlow

    SageMaker specific extensions to TensorFlow

    This package contains SageMaker-specific extensions to TensorFlow, including the PipeModeDataset class, that allows SageMaker Pipe Mode channels to be read using TensorFlow Datasets. This package supports Python 3.7-3.9 and TensorFlow versions 1.7 and higher, including 2.0-2.9.1. For TensorFlow 1.x support, see the master branch. sagemaker-tensorflow releases for all supported versions are available on PyPI. SageMaker TensorFlow extensions builds on Python 3.4-3.9 in Linux with a TensorFlow...
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  • 22
    Carmine

    Carmine

    Redis client and message queue for Clojure

    A pure-Clojure Redis client & message queue. Redis is awesome and it's getting more awesome every day. It deserves a great Clojure client. Fully documented, API with full support for the latest Redis versions. Industrial strength connection pooling. Composable, first-class command functions. Flexible, high-performance binary-safe serialization using Nippy. Simple, high-performance message queue (v2+, Redis 2.6+). Simple, high-performance distributed lock (v2+, Redis 2.6+). Pluggable compression...
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  • 23
    Terratest

    Terratest

    Go library that makes it easier to write automated tests

    Terratest is a Go library that provides patterns and helper functions for testing infrastructure, with 1st-class support for Terraform, Packer, Docker, Kubernetes, AWS, GCP, and more. Create a file ending in _test.go and run tests with the go test command. E.g., go test my_test.go. Use Terratest to execute your real IaC tools (e.g., Terraform, Packer, etc.) to deploy real infrastructure (e.g., servers) in a real environment (e.g., AWS). Use the tools built into Terratest to validate...
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  • 24
    JDA

    JDA

    Java wrapper for the popular chat & VOIP service

    ... a client which does this via lazy loading instead. If you need a bot, use a bot account from the Application Dashboard. Creating the JDA Object is done via the JDABuilder class. After setting the token and other options via setters, the JDA Object is then created by calling the build() method. When build() returns, JDA might not have finished starting up. However, you can use await ready() on the JDA object to ensure that the entire cache is loaded before proceeding.
    Downloads: 0 This Week
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  • 25
    TypeGraphQL

    TypeGraphQL

    Create GraphQL schema and resolvers with TypeScript

    Modern framework for GraphQL API in Node.js. Use only classes and decorators to define your GraphQL schema. No need to define types in SDL and no need to create interfaces for them! This way you will have only one source of truth, so say goodbye to all field type mismatches, typos, and annoying refactoring. Define your whole schema, including types, interfaces, enums, unions, and subscriptions. Create the schema, types, and resolvers only with TypeScript, using classes and decorators! Use...
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