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
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 2024-09-13 00:12:52 +03:00
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
microsoft
machine-learning
deep-learning
data-science
r
finance
time-series
forecasting
business
finnts
r-package
rstats
Обновлено 2024-08-05 18:19:32 +03:00
Concurrent prettier runner
Обновлено 2024-06-16 20:33:23 +03:00
An experimental parallel training platform
Обновлено 2024-03-25 08:26:11 +03:00
In this OSS component, we implement the MATLAB MDCS Generic Scheduler interface using the Azure Batch Service. With this implementation, people with parallel compute intensive MATLAB workloads can schedule their work to Azure VMs using the Azure Batch Service.
Обновлено 2023-03-28 19:47:40 +03:00
Napa.js: a multi-threaded JavaScript runtime
Обновлено 2022-08-29 17:03:06 +03:00
Implementation of the parallel collision search algorithm vOW using hardware/software co-design to assess the classical security of the Supersingular Isogeny Key Encapsulation (SIKE) protocol.
Обновлено 2022-05-11 21:20:54 +03:00
📰 Fast, parallel feed updater for the News app; written in Python
Обновлено 2021-12-11 17:06:15 +03:00
The vOW4SIKE project provides C code that implements the parallel collision search algorithm by van Oorschot and Wiener (vOW). The algorithm can be instantiated for generic collision finding and for solving the supersingular isogeny problem in the context of the Supersingular Isogeny Key Encapsulation protocol SIKE.
Обновлено 2021-05-25 20:39:58 +03:00
SSH.NET is a Secure Shell (SSH) library for .NET, optimized for parallelism.
Обновлено 2020-03-09 21:36:58 +03:00
Deploying a Batch Scoring Pipeline for Python Models
Обновлено 2020-01-28 22:21:04 +03:00
This is the implementation of CVPR'19 paper "SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking"
Обновлено 2019-08-30 11:13:05 +03:00
High scale Redis RQ based parallel job processing example written in Python running on Azure Linux VMs.
Обновлено 2018-03-16 21:54:55 +03:00
Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters
Обновлено 2017-09-06 22:46:02 +03:00
SSH.NET is a Secure Shell (SSH) library for .NET, optimized for parallelism.
Обновлено 2016-06-30 05:13:10 +03:00
Safe, parallel access to Unix shells from Ruby
Обновлено 2015-04-15 05:15:20 +03:00