PRGatADI's Stars
aws-samples/amazon-sagemaker-studio-secure-data-science-workshop
Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to perform machine learning tasks securely with Amazon SageMaker Studio.
MLGroupJLU/LLM-eval-survey
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
yWorks/yfiles-dash-basic-integration
Shows how to integrate yFiles for HTML as a Dash/Plotly plugin
mph-/lcapy
Lcapy is a Python package for symbolic linear circuit analysis and signal processing. It uses SymPy for symbolic mathematics.
devbisme/skidl
SKiDL is a module that extends Python with the ability to design electronic circuits.
AICPS/hw2vec
microsoftgraph/msgraph-sdk-python
aws-samples/amazon-sagemaker-clarify-a2i-sample
This repository contains a sample jupyter notebook showing how to use Amazon SageMaker Clarify and Amazon A2I together in a single inference pipeline to improve transparency in machine learning solutions.
aws-samples/amazon-sagemaker-feature-store-end-to-end-workshop
aws-samples/amazon-sagemaker-mlops-with-featurestore-and-datawrangler
thoughtworks/mlops-platforms
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
louisfb01/best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
machine-learning-exchange/mlx
Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine
yammer/yam-python
A python wrapper around the Yammer API.
falcony-io/ml-annotate
Use ML-Annotate to label data for machine learning purposes
HumanSignal/awesome-data-labeling
A curated list of awesome data labeling tools
Azure/Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
aws/sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
rdpeng/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
kbastani/graphify
Graphify is a Neo4j unmanaged extension used for document and text classification using graph-based hierarchical pattern recognition.