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 2024-09-06 07:00:13 +03:00
12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-08-31 02:58:02 +03:00
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Обновлено 2024-08-08 18:36:05 +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
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
AKS Deployment Tutorial
Обновлено 2020-02-12 05:11:52 +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