torchlambda
PConv-Keras
Our great sponsors
| torchlambda | PConv-Keras | |
|---|---|---|
| 2 | 2 | |
| 123 | 893 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | about 1 year ago | |
| Python | Jupyter Notebook | |
| MIT License | MIT License |
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.
torchlambda
-
AWS lambda inference taking 3s even after warmup
Ok I see. Have you maximized the ram in the lambdas? Since performance scale with ram. I have been using torchlambda.
-
[D] Anyone deploy DL models with AWS Lambda? Trying to estimate costs
I don't think aws lambda has gpu support. We use torchlambda to static build the deployment. You end up with a small binary
PConv-Keras
-
Image inpainting using Keras?
Recently I came across Partial Convolutions for Image Inpainting using Keras and spent a few days playing with the Jupyter notebooks included in the repo. I tried hard to reverse engineer everything in an effort to learn, but my limited experience with deep learning neural networks left me unable to accomplish anything.
-
[D] Anyone deploy DL models with AWS Lambda? Trying to estimate costs
https://www.fixmyphoto.ai/ has been deployed "on a serverless React application with AWS lambda functions handling inference" according to the github page.
What are some alternatives?
python-paho-mqtt-for-aws-iot - Use Python and paho client with AWS IoT for MQTT messaging
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
faiss-server - faiss serving :)
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
python-lambdarest - Flask like web framework for AWS Lambda
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
random-dose-of-knowledge - Using the latest Software Engineering practices to create a modern and simple app.
Deep-Learning-With-TensorFlow - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow
cmake_min_version - Determine the minimal requirement CMake version of a project
osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.
jina - ☁️ Build multimodal AI applications with cloud-native stack
WeatherInterpolation - Simulating Sensor Error & Interpolating Gaps with Deep Learning