attorch VS quick-deploy

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

attorch

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton. (by BobMcDear)
Cuda Deep Learning Machine Learning Pytorch triton openai openai-triton
Source Code
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
Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
featured
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
attorch quick-deploy
1 1
411 6
- -
8.9 0.0
4 days ago over 2 years ago
Python 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.

attorch

Posts with mentions or reviews of attorch. 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 attorch and quick-deploy you can also consider the following projects:

tritony - Tiny configuration for Triton Inference Server

examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools

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

kserve - Standardized Serverless ML Inference Platform on Kubernetes

quick-deploy vs tritony quick-deploy vs examples quick-deploy vs amazon-sagemaker-local-mode quick-deploy vs kserve
Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
featured
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