DeepSpeed |
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. |
Python |
2685 |
MIT License |
hummingbird |
Hummingbird compiles trained ML models into tensor computation for faster inference. |
Python |
1484 |
MIT License |
tf2-gnn |
TensorFlow 2 library implementing Graph Neural Networks |
Python |
198 |
MIT License |
DisentangledFaceGAN |
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (CVPR 2020 Oral) |
Python |
158 |
MIT License |
transductive-vos.pytorch |
a transductive approach for video object segmentation |
Python |
73 |
N/A |
ptgnn |
A PyTorch Graph Neural Network Library |
Python |
72 |
MIT License |
DeBERTa |
The implementation of DeBERTa |
Python |
61 |
MIT License |
rat-sql |
A relation-aware semantic parsing model from English to SQL |
Python |
55 |
MIT License |
hyperspace |
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads. |
Scala |
50 |
Apache License 2.0 |
blackbox-smoothing |
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs |
Jupyter Notebook |
48 |
MIT License |
FairMOT |
This project provides an official implementation of our recent work on real-time multi-object tracking in videos. The previous works conduct object detection and tracking with two separate models so they are very slow. In contrast, we propose a one-stage solution which does detection and tracking with a single network by elegantly solving the alignment problem. The resulting approach achieves groundbreaking results in terms of both accuracy and speed: (1) it ranks first among all the trackers on the MOT challenges; (2) it is significantly faster than the previous state-of-the-arts. In addition, it scales gracefully to handle a large number of objects. |
Python |
42 |
MIT License |
sql-spark-connector |
Apache Spark Connector for SQL Server and Azure SQL |
Scala |
33 |
Apache License 2.0 |
statopt |
Statistical adaptive stochastic optimization methods |
Python |
29 |
MIT License |
inmt |
Interactive Neural Machine Translation tool |
Jupyter Notebook |
24 |
MIT License |
P.808 |
This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR). |
HTML |
22 |
MIT License |
archai |
Reproducible Rapid Research for Neural Architecture Search (NAS) |
Python |
22 |
Other |
onnxruntime-training-examples |
Examples for using ONNX Runtime for model training. |
Python |
21 |
MIT License |
MIMICS |
MIMICS: A Large-Scale Data Collection for Search Clarification |
N/A |
21 |
MIT License |
SGN |
This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”. |
Python |
19 |
MIT License |
spacy-ann-linker |
spaCy pipeline component for generating spaCy KnowledgeBase Alias Candidates for Entity Linking |
Python |
16 |
MIT License |
vs-intellicode |
VS IntelliCode GitHub Action used for IntelliCode CI tools, such as Model Training. |
TypeScript |
15 |
MIT License |
ZipLine |
Text clustering algorithm, implemented in .NET |
C# |
13 |
MIT License |
topologic |
A python library for intelligently building networks and network embeddings, and for analyzing connected data. |
Python |
12 |
MIT License |
reconner |
ReconNER, Debug annotated Named Entity Recognition (NER) data for inconsistencies and get insights on improving the quality of your data. |
Python |
12 |
MIT License |
SmartKG |
This project accepts excel files as input which contains the description of a Knowledge Graph (Vertexes and Edges) and convert it into an in-memory Graph Store. This project implements APIs to search/filter/get nodes and relations from the in-memory Knowledge Graph. This project also provides a dialog management framework and enable a chatbot based on its knowledge graph. |
C# |
10 |
MIT License |
EA-VQ-VAE |
This repo provides the code for the ACL 2020 paper "Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder" |
Python |
10 |
Other |
MixingBoard |
a Knowledgeable Stylized Integrated Text Generation Platform |
Python |
9 |
MIT License |
AirSim-Drone-Racing-Lab |
A framework for drone racing research, built on Microsoft AirSim. |
Python |
8 |
MIT License |
roman |
Python library for real-time control of a robotic manipulator |
Python |
7 |
MIT License |
aml-acceleration-template |
A template repository for quickly adopting Azure Machine Learning |
Python |
7 |
MIT License |
Synapse-AI-Retail-Recommender |
This Solution Accelerator is an end-to-end example on how to enable personalized customer experiences for retail scenarios by leveraging Azure Synapse Analytics, Azure Machine Learning Services, and other Azure Big Data services |
TypeScript |
6 |
MIT License |
AcousticScatteringData |
Synthetic exterior acoustic scattering data and sample parsing code. |
MATLAB |
5 |
N/A |
FeatureBroker |
A library for collecting features and performing inference of machine learning evaluations based on those features, useful especially in situations where the feature publishing software components are strongly decoupled from the software components that wish to exploit those features in machine learning models. |
C++ |
5 |
MIT License |
sqlworkshops-k8stobdc |
Kubernetes Course for SQL Server Big Data Clusters |
N/A |
3 |
Other |
data-science-sandbox |
Azure-hosted sandbox environment to enable third-parties to collaborate on data science solutions over protected data sets |
N/A |
2 |
MIT License |
data-contest-toolkit |
A toolkit for conducting machine learning trials against confidential data |
TypeScript |
2 |
MIT License |
MSMARCODocumentRanking |
Document Ranking on MSMARCO |
N/A |
2 |
Other |
sqlworkshops-sqlmlsvc |
Workshop for SQL Server Machine Learning Services |
Jupyter Notebook |
2 |
Other |
arcade-swarm-animation |
Swarm animation for MakeCode Arcade |
TypeScript |
2 |
MIT License |
ContextualSP |
The official code of our paper "How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context" |
Python |
2 |
MIT License |
News-Threads |
The News Threads pipeline processes large volumes of document content, using machine learning to find derived text fragments and trace them to their original sources. The backend pipeline is written for Python. |
Python |
2 |
MIT License |
vscode-simple-jupyter-notebook |
Simple jupyter notebook for exploration purposes |
TypeScript |
2 |
MIT License |
Multi_Species_Bioacoustic_Classification |
Multi-species bioacoustic classification using deep learning algorithms |
Python |
1 |
MIT License |
sensus |
Ensemble Named Entity Recognition with Consensus |
N/A |
1 |
MIT License |
FRSGrabChallenge |
Hello students! This Future Ready Skills Challenge provides a self-paced learning path for data science and machine learning. After completing foundational content, a challenge by Grab will be available for you to test your skills. |
N/A |
1 |
MIT License |
automl_utils |
Utilities to streamline the creation and evaluation of AutoML algorithms. |
Python |
1 |
Other |
A-TALE-OF-THREE-CITIES |
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection. |
R |
1 |
MIT License |
fhir-codegen |
Tools for code generation based on the FHIR specification. |
C# |
0 |
MIT License |
SynapseInPractice |
Examples and Guidance on Using Azure Synapse Analytics to Tackle Real-World Data Science Problems |
N/A |
0 |
MIT License |
aed-learn-data-science-videos |
This repo will be the initial development of the Data Science Learn modules to go along with the CH9 video series. |
N/A |
0 |
MIT License |