LISA is developed and maintained by Microsoft, to empower Linux validation.
Обновлено 2024-11-22 17:52:33 +03:00
A validation and profiling tool for AI infrastructure
Обновлено 2024-11-22 07:51:54 +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 2024-11-22 01:17:04 +03:00
Airflow configuration for Telemetry
Обновлено 2024-11-22 00:08:57 +03:00
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Обновлено 2024-11-21 10:30:46 +03:00
Training pipelines for Firefox Translations neural machine translation models
Обновлено 2024-11-20 23:58:58 +03:00
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.
Обновлено 2024-11-20 22:24:59 +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 2024-11-20 04:04:47 +03:00
TUTA and ForTaP for Structure-Aware and Numerical-Reasoning-Aware Table Pre-Training
Обновлено 2024-11-19 03:33:30 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-11-18 20:06:15 +03:00
Keep your email safe from hackers and trackers. Make an email alias with 1 click, and keep your address to yourself.
Обновлено 2024-11-18 19:01:36 +03:00
This repo contains code and examples to operationalize Azure review checklists.
Обновлено 2024-11-18 02:06:35 +03:00
Hummingbird compiles trained ML models into tensor computation for faster inference.
Обновлено 2024-11-16 00:52:33 +03:00
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
machine-learning
deep-learning
python
platform
research
finance
algorithmic-trading
auto-quant
fintech
investment
paper
quant
quant-dataset
quant-models
quantitative-finance
quantitative-trading
research-paper
stock-data
Обновлено 2024-11-13 06:41:06 +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 2024-11-09 13:45:59 +03:00
Hosting product details json files for mozilla vpn repo
Обновлено 2024-11-05 01:33:21 +03:00
Sharing Updatable Models (SUM) on Blockchain
machine-learning
python
react
ai
ml
artificial-intelligence
node
economics
blockchain
ethereum
prediction-mar
prediction-market
smart-contracts
truffle
Обновлено 2024-10-31 16:38:58 +03:00
This repo contains required files for the INTERSPEECH 2022 Audio Deep Packet Loss Concealment (PLC) Challenge.
Обновлено 2024-10-31 16:11:12 +03:00
Azure Machine Learning for Visual Studio Code, previously called Visual Studio Code Tools for AI, is an extension to easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service.
Обновлено 2024-10-30 10:28:02 +03:00
System for AI Education Resource.
Обновлено 2024-10-25 08:23:26 +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
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Обновлено 2024-10-18 13:31:05 +03:00
Muzic: Music Understanding and Generation with Artificial Intelligence
Обновлено 2024-10-12 10:58:40 +03:00
Cognitive Service Decision Service Plugin Framework
Обновлено 2024-09-25 13:57:54 +03:00
A Repository for the public preview of Responsible AI in AML vNext
Обновлено 2024-09-13 01:24:07 +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
Generic batch processing framework for managing the orchestration, dispatch, fault tolerance, and monitoring of arbitrary work items against many endpoints. Extensible via dependency injection. Includes examples against Cognitive Service containers for ML eval workloads.
Обновлено 2024-08-07 11:58:35 +03:00
A research project for natural language generation, containing the official implementations by MSRA NLC team.
Обновлено 2024-07-25 14:27:07 +03:00
Tools for detecting wildlife in aerial images using active learning
Обновлено 2024-07-25 14:23:22 +03:00
An official implementation for " UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"
video
localization
segmentation
caption-task
coin
joint
msrvtt
multimodal-sentiment-analysis
multimodality
pretrain
pretraining
retrieval-task
video-language
video-text
video-text-retrieval
youcookii
alignment
caption
Обновлено 2024-07-25 14:07:31 +03:00