Tasks for Azure Pipelines
Обновлено 2024-09-18 12:48:40 +03:00
✅ Tasks app for Nextcloud
Обновлено 2024-09-18 04:41:43 +03:00
Configuration for Taskcluster at https://community-tc.services.mozilla.com/
Обновлено 2024-09-18 00:02:29 +03:00
Pipeline tasks for Azure DevOps Extensions
Обновлено 2024-09-17 03:07:14 +03:00
Durable Task Framework allows users to write long running persistent workflows in C# using the async/await capabilities.
Обновлено 2024-09-17 02:22:08 +03:00
Microsoft SQL storage provider for Durable Functions and the Durable Task Framework
Обновлено 2024-09-17 02:15:24 +03:00
MSBuild task for Azure Functions
Обновлено 2024-09-17 01:28:17 +03:00
Power Platform GitHub Actions automate common build and deployment tasks related to Power Platform. This includes synchronization of solution metadata (a.k.a. solutions) between development environments and source control, generating build artifacts, deploying to downstream environments, provisioning/de-provisioning of environments, and the ability to perform static analysis checks against your solution using the PowerApps checker service.
Обновлено 2024-09-16 23:39:09 +03:00
Durable Task Framework extension for Azure Functions
Обновлено 2024-09-16 23:28:39 +03:00
Libraries for writing VSTS and TFS build tasks
Обновлено 2024-09-16 15:44:57 +03:00
Lib for creating CI/CD tool installer tasks in Azure Pipelines
Обновлено 2024-09-16 11:01:14 +03:00
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
machine-learning
microsoft
python
distributed
data-mining
decision-trees
gbdt
gbm
gbrt
gradient-boosting
kaggle
lightgbm
parallel
r
Обновлено 2024-09-16 05:54:06 +03:00
The build tasks used to pick up package content from project.lock.json.
Обновлено 2024-09-14 15:27:37 +03:00
The task library that just works
Обновлено 2024-09-13 21:29:29 +03:00
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
Обновлено 2024-09-13 19:54:55 +03:00
Azure Container Registry Task Commands
Обновлено 2024-09-12 03:45:59 +03:00
Обновлено 2024-09-11 15:17:01 +03:00
AzureDevOps marketplace extension that contains various engineering oriented Pipeline tasks
Обновлено 2024-09-10 12:21:11 +03:00
A GitHub Action & Azure Pipelines task for augmenting pull request titles to let reviewers quickly determine PR size and test coverage.
Обновлено 2024-09-09 13:40:31 +03:00
Manage Gradle Projects, run Gradle tasks and provide better Gradle file authoring experience in VS Code
Обновлено 2024-09-05 08:18:55 +03:00
Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Bot Framework SDK!
dotnet
javascript
dotnet-core
sdk
typescript
bots
bot-framework
luis
luis-ai
microsoft-congnitive-services
qnamaker
vsix
yeoman
Обновлено 2024-08-29 23:19:16 +03:00
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
nlp
multimodal
beit
beit-3
deepnet
document-ai
foundation-models
kosmos
kosmos-1
layoutlm
layoutxlm
llm
minilm
mllm
pre-trained-model
textdiffuser
trocr
unilm
xlm-e
Обновлено 2024-08-28 08:15:16 +03:00
Arcana.cpp is a collection of helpers and utility code for low overhead, cross platform C++ implementation of task-based asynchrony.
Обновлено 2024-08-23 21:52:01 +03:00
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
microsoft
machine-learning
computer-vision
video
benchmark
dataset
classification
few-shot-learning
meta-learning
object-recognition
Обновлено 2024-08-13 03:27:45 +03:00
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
machine-learning
deep-learning
nlp
natural-language-processing
privacy
ner
transformers
pii
named-entity-recognition
spacy
flair
Обновлено 2024-08-07 19:17:23 +03:00