examples VS quick-deploy

Compare examples vs quick-deploy and see what are their differences.

examples

📝 Examples of how to use Neptune for different use cases and with various MLOps tools (by neptune-ai)
Mlops Pytorch Tensorflow Keras optuna Fastai Xgboost Pandas Visualization Dashboard ML Compare Pipelines Metadata Store Experiment Tracker Tracking Jupyter Sklearn
Source Code
neptune.ai
Suggest alternative
Edit details

quick-deploy

Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. Currently support Hugging Face transformers, PyToch, Tensorflow, SKLearn and XGBoost models. (by rodrigobaron)
huggingface-transformers Pytorch Tensorflow Sklearn Xgboost Onnx triton Machine Learning Deep Learning Inference Mlops
Source Code
pypi.org
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
examples quick-deploy
1 1
66 6
- -
9.1 0.0
2 days ago about 2 years ago
Jupyter Notebook Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

examples

Posts with mentions or reviews of examples. We have used some of these posts to build our list of alternatives and similar projects.

quick-deploy

Posts with mentions or reviews of quick-deploy. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing examples and quick-deploy you can also consider the following projects:

kfserving - Standardized Serverless ML Inference Platform on Kubernetes [Moved to: https://github.com/kserve/kserve]

tritony - Tiny configuration for Triton Inference Server

Traffic-Lights-Classification-CNN - Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset.

amazon-sagemaker-local-mode - Amazon SageMaker Local Mode Examples

ee_repository_stats - Scraping, parsing, and analyzing every public Earth Engine repository

kserve - Standardized Serverless ML Inference Platform on Kubernetes

ststats - UK Specialty Training Stats

Ordinal_Classifier - Introduce order in your classification within 1 line

multi-object-tracking-in-python - 📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍

mfp-wrapped - Data app to provide analytics for myfitnesspal users: a calorie counter and food journal

fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

will-sh3-b33 - Will you ever find love?

examples vs kfserving quick-deploy vs tritony examples vs Traffic-Lights-Classification-CNN quick-deploy vs amazon-sagemaker-local-mode examples vs ee_repository_stats quick-deploy vs kserve examples vs ststats examples vs Ordinal_Classifier examples vs multi-object-tracking-in-python examples vs mfp-wrapped examples vs fastpages examples vs will-sh3-b33