Python Lambda-layer Resources

Explainable CNNs 📦 Flexible visualization package for generating layer-wise explanations for CNNs. It is a common notion that a Deep Learning model i

Sionna: An Open-Source Library for Next-Generation Physical Layer Research Sionna™ is an open-source Python library for link-level simulations of digi

Blood Deluxe DDoS DDoS Attack Panel includes CloudFlare Bypass (UAM, CAPTCHA, BFM, etc..)(It works intermittently. Working on it) Don't attack any web

BlockUnexpectedPackets This script automatically blocks DDoS attacks that are sp

Sharpened Cosine Similarity A layer implementation for PyTorch Install At your c

Auto-Lambda This repository contains the source code of Auto-Lambda and baselines from the paper, Auto-Lambda: Disentangling Dynamic Task Relationship

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation

CDK Template of Table Definition AWS Lambda for RDB Overview This sample deploys Amazon Aurora of PostgreSQL or MySQL with AWS Lambda that can define

ivy-manual-embeddings Some embedding layer implementation using ivy library. Just for fun. It is based on NYCTaxiFare dataset from kaggle (cut down to

Cado Response Integration with Amazon GuardDuty using AWS Lambda This repository contains a simple example where: An alert is triggered by GuardDuty T

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks Under construction. Description Code for Phase diagram of S

This repository contains code written in the AWS Cloud Development Kit (CDK) which launches infrastructure across two different regions to demonstrate using AWS AppSync in a multi-region setup.

Python project that aims to discover CDP neighbors and map their Layer-2 topology within a shareable medium like Visio or Draw.io.

Pytorch implementation of the paper "Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization"

Chalice is a tool to facilitate Python based lambda deployment. This repo contains the output of my basic exploration of this tool.

Serverless app via AWS Lambda, ApiGateway and Serverless framework Configuration

Trainable Bilateral Filter Layer (PyTorch) This repository contains our GPU-accelerated trainable bilateral filter layer (three spatial and one range

AWS Lambda Requests Wrapper Request/Response wrapper for AWS Lambda with API Gat

AWS Lambda Function This repository contains python codes that allow notificatio

ShadowClone allows you to distribute your long running tasks dynamically across thousands of serverless functions and gives you the results within seconds where it would have taken hours to complete

Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

Welcome to the AWS CodeStar sample web service This sample code helps get you started with a simple Python web service using AWS Lambda and Amazon API

DIAL(Did I Alert Lambda?) is a centralised security misconfiguration detection framework which completely runs on AWS Managed services like AWS API Gateway, AWS Event Bridge & AWS Lambda

Introduction This repository contains the code for Instance-wise Ordered Transformer (IOT), which is introduced in the ICLR2021 paper IOT: Instance-wi

Exercises and project documentation for the 3. Developing your First ML Workflow of the AWS Machine Learning Engineer Nanodegree Program

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

AWS Serverless Application Model (AWS SAM) The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications

MLP Hidden Layer Activation Visualization To gain some intuition about the internal representation of simple multi-layer perceptrons (MLPs) I trained

The Air Quality Bot is generally available by texting a zip code (and optionally the word "map") to (415) 212-4229. The bot will respond with the late

cdf_att_classification classes = {0: 'cat', 1: 'dog', 2: 'flower'} In this project we use both Resnet and Self-attention layer for cdf-Classification.

U-GAT-IT — Official TensorFlow Implementation (ICLR 2020) : Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization fo

AWS SAM The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to e

ShortenURL Model The model layer class for shorten URL service Usage Complete th

U-GAT-IT — Official PyTorch Implementation : Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Imag

A data pipeline consisting of an AWS lambda function reading data from yfinance API, an AWS Kinesis stream to receive & store data in S3 buckets and AWS Glue crawler & Athena to run SQL queries.

VCM EE1.2 P-layer feature map anchor generation 137th MPEG-VCM

MLP-Numpy A simple modular implementation of Multi Layer Perceptron in pure Numpy. I used the Iris dataset from scikit-learn library for the experimen

Self Governing Neural Networks (SGNN): the Projection Layer A SGNN's word projections preprocessing pipeline in scikit-learn In this notebook, we'll u

Usage Let's pretend you want to create a AWS Lambda project called "sns-processor". Rather than using lambda and then editing the results to include y

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched or copy-pasted. ocrmypdf

Process Events In Style This library aims to simplify the common pattern of event processing. It simplifies the process of filtering, dispatching and

Serverless Framework Python Flask API service backed by DynamoDB on AWS Python Flask API service, backed by DynamoDB, running on AWS Lambda using the

Disclaimer I won't answer issues or emails regarding the project anymore. The project is old and not maintained anymore. I'm not sure if it still work

lamblayer lamblayer is a minimal deployment tool for AWS Lambda layers. lamblayer does, Create a Layers of built pip-installable python packages. Crea

Ass The AWS Lambda Serverless Blind XSS App 利用VPS配置XSS平台太麻烦了，如果利用AWS的Lambda那不就是一个域名的事情么？剩下的环境配置、HTTPS证书、隐私性、VPS续费都不用管了， 所以根据xless重写了Lambda平台的XSS，利用sla

libvcs - abstraction layer for vcs, powers vcspull. Setup $ pip install libvcs Open up python: $ python # or for nice autocomplete and syntax highlig

drover drover: a command-line utility for deploying Python packages to Lambda functions. Background This utility aims to provide a simple, repeatable,

⚡ Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –

No longer maintained This software is no longer being maintainted and should not be chosen for new projects. See this issue for more information Apex

Serverless Python Starter Starter project for python based lambda project. Features FastAPI - Frontend dev with Hot Reload API Gateway Integration (+r

AirCache Aircache is an open-source caching and security solution that can be integrated with most decoupled apps that use REST APIs for communicating

foundations-auth-proxy Setup By default the server runs on http://0.0.0.0:5558. This can be changed via the arguments. Arguments: '-H' or '--host': ho

Layer-wise Relevance Propagation (LRP) in PyTorch Basic unsupervised implementation of Layer-wise Relevance Propagation (Bach et al., Montavon et al.)

AWS Chalice Chalice is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda.

lambdarest Python routing mini-framework for AWS Lambda with optional JSON-schema validation. ⚠️ A user study is currently happening here, and your op

pyramid_services The core of a service layer that integrates with the Pyramid Web Framework. pyramid_services defines a pattern and helper methods for

PyFilesystem2 Python's Filesystem abstraction layer. Documentation Wiki API Documentation GitHub Repository Blog Introduction Think of PyFilesystem's

Temperature Monitoring and Prediction Using a Modified Lambda Architecture A more detailed write up can be seen in this paper. Original Lambda Archite

tensorflow_hmm Tensorflow and numpy implementations of the HMM viterbi and forward/backward algorithms. See Keras example for an example of how to use

Self-adjusting, auto-compounding multi-pair DCA crypto trading bot using Python, AWS Lambda & 3Commas API The following code describes how we can leve

url-shortener-chalice A simple URL shortener app using AWS Chalice. Please make sure you configure your AWS credentials using AWS CLI before starting

DominoSearch This is repository for codes and models of NeurIPS2021 paper - DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense n

FCS-applications Source code for CsiNet and CRNet using the Fully Connected Layer-Shared feedback architecture. Introduction This repository contains

Dynamic-Graphs-Construction Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Ne

Delve is a Python package for analyzing the inference dynamics of your PyTorch model.

Automated-cloudformation-infra Troposphere and shellscript based AWS infrastructure automation. Feel free to clone and edit for personal usage. The en

CaloGAN Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks. This repository c

kwd-extraction-study This repository is maintained for the scientific paper tittled " Study of keyword extraction techniques for Electric Double Layer

Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization This repository contains the source code for the paper (link wi

JAWS Pankration 2021 - DDD on AWS Lambda sample What is this project? This project contains sample code for AWS Lambda with domain models. I presented

Model Serving Made Easy BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models. Supports multi

PyTorch-Encoding created by Hang Zhang Documentation Please visit the Docs for detail instructions of installation and usage. Please visit the link to

FC-DenseNet-Tensorflow This is a re-implementation of the 100 layer tiramisu, technically a fully convolutional DenseNet, in TensorFlow (Tiramisu). Th

AWS Lambda - Parsing Cloudwatch Data and sending the response via email. Author: Evan Erickson Language: Python Backend: AWS / Serverless / AWS Lambda

PyKaldi is a Python scripting layer for the Kaldi speech recognition toolkit. It provides easy-to-use, low-overhead, first-class Python wrappers for t

nbsafety adds a layer of protection to computational notebooks by solving the stale dependency problem when executing cells out-of-order

Lambda Exploring basic lambda calculus in Python. In this repo I have used the lambda function built into python to get a more intiutive feel of lambd

Webhook Listener A Python Lambda Webhook Listener - Generates a permanent URL on created assets. See doc on Generating a Permanent URL: https://www.co

Serverless-capture-lambda-payload-demo Serverless demo showing users how they can capture (and obfuscate) their Lambda payloads in Datadog APM This wi

AWS Lambda Fast API Fast API starter application compatible with API Gateway and Lambda Function. How to deploy it? Terraform AWS Lambda API is a reus

Python + AWS Lambda Hands On Python Criada em 1990, por Guido Van Rossum. "Bala de prata" (quase). Muito utilizado em: Automatizações - Selenium, Beau

napari-text-layer Napari text layer for bio-image annotation. Installation You can install using pip: pip install napari-text-layer Keybindings and m

AWS-Transitgateway-Route-Propagation This Lambda will Pull propagated routes from TGW and update VPC route table. Tested on python 3.8 Lambda AWS INST

AWS Lambda Shared Layers This repository is hosting the code from the following blog post: AWS Lambda & Shared layers for Python. The goal of this rep

Convolution_LSTM_pytorch Thanks for your attention. I haven't got time to maintain this repo for a long time. I recommend this repo which provides an

Cross-Speaker-Emotion-Transfer - PyTorch Implementation PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Conditio

RLA-Net: Recurrent Layer Aggregation Recurrence along Depth: Deep Networks with Recurrent Layer Aggregation This is an implementation of RLA-Net (acce

ec2-imagebuilder-ami-share CloudFormation template and CDK stack that contains a CustomResource with Lambda function to allow the setting of the targe

Automator-Terminator A Proof-of-Concept Layer 2 Denial of Service Attack that disrupts low level operations of Programmable Logic Controllers (PLCs) w

Transformer Embedder A Word Level Transformer layer based on PyTorch and 🤗 Transformers. How to use Install the library from PyPI: pip install transf

TorchCAM: class activation explorer Simple way to leverage the class-specific activation of convolutional layers in PyTorch. Quick Tour Setting your C

This repository contains the Lambda function to redrive sqs events from source to destination queue while controlling maxRetry per event.

AWS SQS event redrive Lambda This repository contains one simple AWS Lambda function in Python to redrive AWS SQS events from source queue to destinat

Cryptocurrency Prices Overview Instalação Repositório Configuração CI/CD Roadmap Testes Overview A ideia deste projeto é aplicar o conteúdo estudado s

Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision Training Efficiency We show the training efficiency of our DSLP model b

Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision Training Efficiency We show the training efficiency of our DSLP model b

Disturbing Target Values for Neural Network regularization: attacking the loss layer to prevent overfitting 1. Classification Task PyTorch implementat

terrible-uuid-lambda because rico hates uuid's sub 200ms response times! Try it out here: https://api.mathisvaneetvelde.com/uuid https://api.mathisvan

slashbot Slashbot makes it easy to create slash commands using AWS Lambda functions. These can be handy for creating a secure way to execute automated