Pinned Repositories
AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models
amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
amazon-sagemaker-feature-store-end-to-end-workshop
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
sas_kernel_ext
sas_kernel
A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.
saspy
A Python interface module to the SAS System. It works with Linux, Windows, and Mainframe SAS as well as with SAS in Viya.
jld23's Repositories
jld23/sas_kernel_ext
jld23/AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
jld23/amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models
jld23/amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
jld23/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
jld23/amazon-sagemaker-feature-store-end-to-end-workshop
jld23/amazon-sagemaker-immersion-day
jld23/aws-media-replay-engine
Media Replay Engine (MRE) is a framework to build automated video clipping and replay (highlight) generation pipelines for live and video-on-demand content.
jld23/aws_sagemaker
jld23/baseball_R
Companion to Analyzing Baseball Data with R, 2nd edition
jld23/awsdocsgpt
Codebase for www.awsdocsgpt.com (AI-powered Search and Chat for AWS Documentation)
jld23/beam
Apache Beam is a unified programming model for Batch and Streaming
jld23/bedrock-prompting-workshop
jld23/datascience-box
Data Science Course in a Box
jld23/deepstream_pose_estimation
This is a sample DeepStream application to demonstrate a human pose estimation pipeline.
jld23/fm-evaluation-at-scale
jld23/haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
jld23/introPython
A list of intro python projects for practice.
jld23/jupyterlab-gcloud-auth
jld23/MAX-Human-Pose-Estimator
Detect humans in an image and estimate the pose for each person
jld23/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
jld23/mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
jld23/sagemaker_project_test
trying SM projects
jld23/sas-global-forum-2021
Code, notebooks and examples that accompany papers and presentations from SAS Global Forum 2021
jld23/sas_kernel
A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.
jld23/sasoptpy
sasoptpy is a Python package providing a modeling interface for SAS Viya Optimization solvers.
jld23/saspy
A Python interface module to the SAS System. It works with Linux, Windows, and mainframe SAS. It supports the sas_kernel project (a Jupyter Notebook kernel for SAS) or can be used on its own.
jld23/streamlit-chess
Bi-directional component to play chess in streamlit apps
jld23/streamlit-cognito-auth
A Streamlit component for authenticating users with AWS Cognito
jld23/text-generation-inference-tests