Abhishek M Shivalingaiah's repositories
fraud-detection-using-machine-learning
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Legal-Text-Analytics
A list of selected resources, methods, and tools dedicated to Legal Text Analytics.
avatarify-python
Avatars for Zoom, Skype and other video-conferencing apps.
awesome-software-analytics
Curated list of awesome resources and links about Software Analytics
aws-media-insights-engine
A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.
aws-mlops-framework
The AWS MLOps Framework solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.
BERT_FeatureStore
Saving raw text embeddings intothe SageMaker Feature Store
cartoonify
Deploy and scale serverless machine learning app - in 4 steps.
discovering-hot-topics-using-machine-learning
The Discovering Hot Topics Using Machine Learning solution helps brand-conscious customers understand the most popular topics being actively discussed by ingesting digital assets and performing near real-time inferences and analytics
improving-forecast-accuracy-with-machine-learning
The Improving Forecast Accuracy with Machine Learning solution generates, tests, compares, and iterates on Amazon Forecast forecasts. The solution automatically produces forecasts and generates visualization dashboards for Amazon QuickSight or Amazon SageMaker Jupyter Notebooks—providing a quick, easy, drag-and-drop interface that displays time series input and forecasted output.
langchain-aws-template
Application template for service api using langchain and generative model services
mlops-amazon-sagemaker-devops-with-ml
Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
neo-ai-dlr
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
predictive-maintenance-using-machine-learning
Set up end-to-end demo architecture for predictive maintenance issues with Machine Learning using Amazon SageMaker
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
TinyLlama
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.