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 2024-11-20 10:51:18 +03:00
12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-11-11 22:55:47 +03:00
Batch Scoring For Deep Learning Models
Обновлено 2024-11-08 19:24:35 +03:00
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Обновлено 2024-11-04 20:20:56 +03:00
We present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species
Обновлено 2024-06-18 02:11:34 +03:00
maximal update parametrization (µP)
Обновлено 2023-10-21 06:45:36 +03:00
Best Practices, code samples, and documentation for Computer Vision.
microsoft
azure
machine-learning
python
deep-learning
data-science
computer-vision
kubernetes
artificial-intelligence
object-detection
tutorial
jupyter-notebook
convolutional-neural-networks
image-classification
image-processing
operationalization
similarity
Обновлено 2023-10-18 19:13:00 +03:00
Debugging, monitoring and visualization for Python Machine Learning and Data Science
machine-learning
python
deep-learning
data-science
ai
monitoring
reinforcement-learning
jupyter
jupyter-notebook
debugging
deeplearning
debug
machinelearning
explainable-ai
explainable-ml
saliency
debugging-tool
model-visualization
Обновлено 2023-08-30 10:47:36 +03:00
Running the most popular deep learning frameworks on Azure Batch AI
Обновлено 2023-06-12 22:32:13 +03:00
Scenarios, tutorials and demos for Autonomous Driving
microsoft
deep-learning
simulation
tensorflow
robotics
tutorial
autonomous-vehicles
airsim
self-driving-car
autonomous-driving
autonomous-driving-cookbook
car
cntk
keras
microsoft-garage
Обновлено 2023-06-12 22:32:09 +03:00
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Обновлено 2023-06-03 07:09:23 +03:00
A tutorial on how to deploy a Dockerised deep learning application on Azure Container Services
Обновлено 2023-03-28 19:46:36 +03:00
A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they’re adapting to a changing world.
Обновлено 2022-12-07 20:55:41 +03:00
This is the source code that we developed for the collaborative project between Microsoft and Nestle Skin Health, where we developed deep learning models to assess the acne severity level based on selfie images.
Обновлено 2022-11-28 22:10:32 +03:00
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
azure
python
machine-learning
deep-learning
data-science
r
ai
ml
big-data
sqlserver
data-analysis
dsvm
Обновлено 2022-09-18 21:35:33 +03:00
MCW Analyzing text with Azure Machine Learning and Cognitive Services
Обновлено 2022-07-01 19:44:55 +03:00
Datasets, tools, and benchmarks for representation learning of code.
machine-learning
deep-learning
data-science
ml
python
tensorflow
neural-networks
open-data
datasets
cnn
machine-learning-on-source-code
natural-language-processing
nlp
nlp-machine-learning
bert
programming-language-theory
representation-learning
rnn
self-attention
data
Обновлено 2022-01-31 12:25:07 +03:00
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
machine-learning
deep-learning
computer-vision
neural-networks
image-classification
azure-computer-vision
clarifai
google-cloud-vision
provable-defense
adversarial-defense
adversarial-examples
adversarial-robustness
aws-rekognition
Обновлено 2021-04-03 00:37:13 +03:00
python
deep-learning
pytorch
speech
melgan
multiband-melgan
speaker-encoder
tacotron
tacotron2
tensorflow2
text-to-speech
tts
vocoder
dataset-analysis
gantts
glow-tts
Обновлено 2021-02-18 21:24:03 +03:00
Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Обновлено 2020-12-16 15:51:21 +03:00
A tutorial demonstrating how to implement deep learning models for time series forecasting
Обновлено 2020-11-13 21:01:26 +03:00
Batch scoring deep learning models with AML
Обновлено 2020-02-12 05:41:59 +03:00
AKS Deployment Tutorial
Обновлено 2020-02-12 05:11:52 +03:00
Hyperparameter Tuning for Deep Learning
Обновлено 2020-02-05 03:19:52 +03:00
Deep learning-based multi-label audio retrieval using a Siamese network
Обновлено 2019-09-20 03:40:45 +03:00
Batch scoring deep learning models with kubernetes
Обновлено 2019-02-07 16:46:58 +03:00
Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster
Обновлено 2019-02-01 22:04:55 +03:00
This repo aims to showcase how to deploy deep learning models.
Обновлено 2018-06-26 21:46:23 +03:00