Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.
Обновлено 2024-12-11 13:51:35 +03:00
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
machine-learning
deep-learning
pytorch
gpu
compression
billion-parameters
data-parallelism
inference
mixture-of-experts
model-parallelism
pipeline-parallelism
trillion-parameters
zero
Обновлено 2024-12-10 09:14:59 +03:00
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.
Обновлено 2024-12-10 03:57:29 +03:00
Antares: an automatic engine for multi-platform kernel generation and optimization. Supporting CPU, CUDA, ROCm, DirectX12, GraphCore, SYCL for CPU/GPU, OpenCL for AMD/NVIDIA, Android CPU/GPU backends.
Обновлено 2024-12-05 11:09:24 +03:00
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
machine-learning
deep-learning
data-science
python
automated-machine-learning
natural-language-processing
hyperparameter-optimization
automl
jupyter-notebook
timeseries-forecasting
tuning
classification
finetuning
hyperparam
natural-language-generation
random-forest
regression
scikit-learn
tabular-data
Обновлено 2024-12-04 15:52:53 +03:00
Delivery Optimization client components
Обновлено 2024-11-28 10:14:33 +03:00
Unified Redis Platform is a solution for consolidating multiple Redis Caches to a single cluster. The cluster can be shared by multiple apps but provides proper isolation to each application. This is the client-side core SDK for Unified Redis Platform.
Обновлено 2024-11-13 07:45:08 +03:00
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
machine-learning
deep-learning
python
pytorch
hyperparameter-optimization
automated-machine-learning
automl
model-compression
nas
neural-architecture-search
darts
petridish
Обновлено 2024-10-23 20:40:41 +03:00
Linux, Android and Chromium Performance Tools built using the Microsoft Performance Toolkit. Cross-platform .NET Core + WPA GUI
dotnet
android
dotnet-core
performance
linux
chromium
debugging
performance-analysis
lttng
flamegraph
optimization
perf
perfetto
performance-optimization
performance-profiling
performance-visualization
Обновлено 2024-09-29 02:22:20 +03:00
Welcome to the Continuous Cloud Optimization Power BI Dashboard GitHub Project. In this repository you will find all the guidance and files needed to deploy the Dashboard in your environment to take benefit of a single pane of glass to get insights about your Azure resources and services.
azure
microsoft
devops
cloud
powerbi
paas
microsoft-graph-api
dashboard
iaas
optimization
asc
azureadvisor
microsoft-rest-api
microsoft-services
Обновлено 2024-08-20 10:19:13 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
docker
reinforcement-learning
simulator
finance
inventory-management
logistics
maro
multi-agent
multi-agent-reinforcement-learning
operations-research
raas
resource-optimization
rl-algorithms
transportation
agent
citi-bike
Обновлено 2024-02-23 11:45:58 +03:00
This is a sample application that how the Grid performance when working with large data sets and different optimization options.
Обновлено 2024-02-15 11:10:06 +03:00
Samples for using optimization solvers through Azure Quantum.
Обновлено 2024-01-30 21:45:13 +03:00
Improved JPEG encoder.
Обновлено 2023-10-12 19:52:31 +03:00
Campaign optimization solution with SQL Server ML Services
Обновлено 2023-06-12 23:01:40 +03:00
A collection of tools, scripts, code and documentation for Office 365 Network Routing, Optimization and Monitoring.
Обновлено 2023-06-05 12:34:17 +03:00
Обновлено 2023-03-07 20:58:26 +03:00
Automatic LOD generation + scene optimization
Обновлено 2021-08-14 01:51:48 +03:00
Distributed optimization algorithms for empirical risk minimization.
Обновлено 2020-09-04 09:28:59 +03:00
Peregrine is a workload optimization platform for cloud query engines. The goal of Peregrine is three-fold: 1. make it easier to ingest and analyze query workload telemetry into a common engine-agnostic representation, 2. help developers to quickly build workload optimization applications to reduce overall costs and improve operational efficiency, and 3. providing better experience to the customers in the form of workload insights, actionable recommendations, and self-tuning capabilities.
Обновлено 2020-08-31 07:53:14 +03:00
Resource Optimization
Обновлено 2020-07-09 18:22:01 +03:00
Statistical adaptive stochastic optimization methods
Обновлено 2020-03-28 03:11:49 +03:00
ASP.NET Web Optimization for ASP.NET 4.x applications
Обновлено 2017-09-08 02:09:04 +03:00
Retail industry solutions for product price optimization using the Cortana Intelligence Suite with end-to-end walkthrough
Обновлено 2017-09-05 17:34:28 +03:00
An Inventory Optimization Solution How-To Guide
Обновлено 2017-08-18 19:03:21 +03:00
GLSL optimizer based on Mesa's GLSL compiler. Used in Unity for mobile shader optimization.
Обновлено 2013-05-14 00:54:55 +04:00