lebaker Goto Github PK
Name: London Baker
Type: User
Company: Baker Network Consulting
Name: London Baker
Type: User
Company: Baker Network Consulting
Freemarker based templates that build with the gradle-appengine-plugin
Google VR SDK for Unity
Workshop for student hackathons focused on Power Apps
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Distributed Asynchronous Hyperparameter Optimization in Python
Reference architectures for extending your Active Directory environment to Azure
Dynamics 365 is releasing Industry Accelerators to enable ISVs, SIs and Partners to rapidly build industry focused solutions on top of our Business Application and Intelligence Platforms. These accelerators are created through a close partnership with internal Product , Sales, Service, Marketing, Field and Vertical Teams, with feedback from external industry SI, ISV and Partners. Here you will find samples and guidance on how to build and extend your industry solution on the Dynamics 365 Business Application and Intelligence platforms using our industry accelerators. Samples will also include cross product implementations with Azure, Office 365, Power BI, LinkedIn, Teams and other on-premise and cloud based implementations.
The Microsoft Higher Education Accelerator is an another Industry Accelerator from Microsoft following the release of the Healthcare Accelerator earlier this summer. Industry Accelerators are foundation components within the Microsoft Power platform and Dynamics 365 that enable ISVs and other solution providers to quickly build industry vertical solutions.
Dynamics 365 is releasing Industry Accelerators to enable ISVs, SIs and Partners to rapidly build industry focused solutions on top of our Business Application and Intelligence Platforms. These accelerators are created through a close partnership with internal Product , Sales, Service, Marketing, Field and Vertical Teams, with feedback from external industry SI, ISV and Partners. Here you will find samples and guidance on how to build and extend your industry solution on the Dynamics 365 Business Application and Intelligence platforms using our industry accelerators. Samples will also include cross product implementations with Azure, Office 365, Power BI, LinkedIn, Teams and other on-premise and cloud based implementations.
Dynamics 365 is releasing Industry Accelerators to enable ISVs, SIs and Partners to rapidly build industry focused solutions on top of our Business Application and Intelligence Platforms. These accelerators are created through a close partnership with internal Product , Sales, Service, Marketing, Field and Vertical Teams, with feedback from external industry SI, ISV and Partners. Here you will find samples and guidance on how to build and extend your industry solution on the Dynamics 365 Business Application and Intelligence platforms using our industry accelerators. Samples will also include cross product implementations with Azure, Office 365, Power BI, LinkedIn, Teams and other on-premise and cloud based implementations.
Dynamics 365 is releasing Industry Accelerators to enable ISVs, SIs and Partners to rapidly build industry focused solutions on top of our Business Application and Intelligence Platforms. These accelerators are created through a close partnership with internal Product , Sales, Service, Marketing, Field and Vertical Teams, with feedback from external industry SI, ISV and Partners. Here you will find samples and guidance on how to build and extend your industry solution on the Dynamics 365 Business Application and Intelligence platforms using our industry accelerators. Samples will also include cross product implementations with Azure, Office 365, Power BI, LinkedIn, Teams and other on-premise and cloud based implementations.
The Microsoft Common Data Model for Nonprofits came from sitting with, observing, learning from 100's of nonprofits about their unmet technology challenges and the frustration of managing data across many systems of record. The approach includes: Microsoft partnering with leading thought leaders in the nonprofit technology space as well as a Customer Steering Team made up of a diverse group of global nonprofit organizations and foundations to create a nonprofit common data model that reflects the common nonprofit scenarios. Learning from data model challenges of the past and design a streamlined, open foundation for vendors, partners and nonprofits to rapidly build applications and connectors. Incorporating data standards into the model against widely adopted international data standards like IATI. Harnessing the power of the Microsoft technology stack - Azure, Office 365, Power Platform, Dynamics 365, Power BI - alongside the interoperability is the nonprofit CDM will save nonprofits time and money better spent in their missions. The Microsoft Common Data Model for Nonprofits is the first of its kind to provide a model that reflects industry best-practices and insight across program delivery, grant/award management, constituent management, fundraising, and donation management.
Resources for "Introduction to Deep Learning" course.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
IPython widgets for the Jupyter Notebook
An educational AI robot based on NVIDIA Jetson Nano.
ROS nodes and Gazebo model for NVIDIA JetBot with Jetson Nano
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Code for the paper "Jukebox: A Generative Model for Music"
Jupyter metapackage for installation, docs and chat
Jupyter protocol client APIs
Deep Learning for humans
⚡ Building applications with LLMs through composability ⚡
Lightweight library to build and train neural networks in Theano
Demo apps for the Learn Together: Developing Real-Time Collaborative Apps with Azure, Microsoft 365, Power Platform, and GitHub event.
Collection of linux sysadmin/devop interview questions
A list of some of the questions which I've had to know during linux syadmin / devops interviews.
Inference code for LLaMA models
Python bindings for llama.cpp
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.