Search Results for "deep"
Sort By:
Showing 10 open source projects for "deep"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
1
DALI
A GPU-accelerated library containing highly optimized building blocks
The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding, cropping, resizing, and many other augmentations. ... -
2
dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is... -
3
graphql-compose-mongoose
Mongoose model converter to GraphQL types with resolvers
This is a plugin for graphql-compose, which derives GraphQLType from your Mongoose model. Also derives a bunch of internal GraphQL Types. Provide all CRUD resolvers, including graphql connection, also provide basic search via operators. GraphQL Compose Mongoose is a tool to automatically generate a GraphQL API from Mongoose models, simplifying GraphQL schema creation. -
4
Jib
Containerize your Java application
Containerize your Java application with Jib! Jib builds optimized Docker and OCI images for your Java applications-- no Docker daemon or deep mastery of Docker best-practices required. Jib builds by separating the traditionally single image layer Java application into multiple layers for more granular incremental builds. This results in only changes to your code being rebuilt, not your entire application. Jib deploys your changes fast and allows you to rebuild your container image exactly the same without triggering unnecessary updates. ... -
Atera - an All-in-one platform for IT managementYour IT essentials, integrated & elevated. Take your IT management from automated to autonomous, download Atera's agent to start your free trial!
-
5
ReDex
A bytecode optimizer for Android apps
...Fewer bytes also means faster download times, faster install times, and lower data usage for cell users. Lastly, less bytecode also typically translates into faster runtime performance. Redex has deep integration with Buck where your Redex config is passed as a parameter to the Buck android_binary rule when generating the APK. -
6
Operator SDK
SDK for building Kubernetes applications. Provides high level APIs
The Operator SDK makes it easier to build Kubernetes native applications, a process that can require deep, application-specific operational knowledge. The Operator SDK provides the tools to build, test, and package Operators. Initially, the SDK facilitates the marriage of an application’s business logic (for example, how to scale, upgrade, or backup) with the Kubernetes API to execute those operations. Over time, the SDK can allow engineers to make applications smarter and have the user experience of cloud services. ... -
7
AWS SDK for JavaScript
AWS SDK for JavaScript in the browser and Node.js
Find all the tools, documentation, and sample code you need to develop secure, reliable, and scalable JavaScript applications on the AWS cloud. Read and watch guidance from experts on AWS. See how to get the most from AWS. Find solutions to common challenges. Gain the knowledge to get the most from the AWS cloud. Get started building Node.js applications with the AWS SDK for JavaScript and front-end web and mobile apps with Amplify JavaScript Libraries. Amplify Libraries are built on top of... -
8
SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
...This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). ... -
9
pyTorch Tutorials
Build your neural network easy and fast
pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks,... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
...If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies easy on-boarding for their team members, freeing them up from complex systems admin and security processes. Administrators control data access and resource provisioning for their users. ...
- Previous
- You're on page 1
- Next
