torchlambda
Swin-Transformer-Serve
torchlambda | Swin-Transformer-Serve | |
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2 | 1 | |
123 | 26 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | almost 3 years ago | |
Python | Python | |
MIT License | MIT License |
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torchlambda
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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.
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[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
Swin-Transformer-Serve
What are some alternatives?
python-paho-mqtt-for-aws-iot - Use Python and paho client with AWS IoT for MQTT messaging
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
faiss-server - faiss serving :)
Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
python-lambdarest - Flask like web framework for AWS Lambda
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
random-dose-of-knowledge - Using the latest Software Engineering practices to create a modern and simple app.
QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU
cmake_min_version - Determine the minimal requirement CMake version of a project
jina - ☁️ Build multimodal AI applications with cloud-native stack
sagemaker-training-toolkit - Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
user-management - An open-source application delivering a responsive user management experience.