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nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
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MLOS
MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.
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debugpy
An implementation of the Debug Adapter Protocol for Python
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electionguard-python
This repository is a "reference implementation" of ElectionGuard written in Python. This implementation can be used to conduct End-to-End Verifiable Elections as well as privacy-enhanced risk-limiting audits.
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hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
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BackwardCompatibilityML
Project for open sourcing research efforts on Backward Compatibility in Machine Learning
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DeepSpeedExamples
Example models using DeepSpeed
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recommenders
Best Practices on Recommendation Systems
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PowerPlatformConnectors
This is a repository for Microsoft Power Automate, Power Apps, and Azure Logic Apps connectors
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msticpy
Microsoft Threat Intelligence Security Tools
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TextWorld
βTextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
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ptgnn
A PyTorch Graph Neural Network Library
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unilm
UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond
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archai
Reproducible Rapid Research for Neural Architecture Search (NAS)
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antares
Antares: an automatic engine for multi-platform kernel generation and optimization. Supporting CPU, CUDA, ROCm, DirectX12 and GraphCore platforms.
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opentelemetry-azure-monitor-python
This repository is the home to Azure Monitor SDKs and exporters utilizing the OpenTelemetry Python Client https://github.com/open-telemetry/opentelemetry-python to send telemetry data to Azure Monitor written in Python.
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onnxruntime-training-examples
Examples for using ONNX Runtime for model training.
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aerial_wildlife_detection
Tools for detecting wildlife in aerial images using active learning
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GLUECoS
A benchmark for code-switched NLP, ACL 2020
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MaskFlownet
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
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OpenMSFTL
Research simulation toolkit for federated learning
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github-traffic-tracker
Azure Function to track your GitHub traffic
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infinibatch
Efficient, check-pointed data loading for deep learning with massive data sets.
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botbuilder-python
The Microsoft Bot Framework provides what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.
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sim-packaging
Tooling to abstract away docker building of simulators using az acr
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robustdg
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
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DFOL-VQA
Differentiable First-Order Logic Reasoning for Visual Question Answering
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DiscoFaceGAN
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (CVPR 2020 Oral)