{"repo":"SuperCowPowers/workbench","free":true,"listed":false,"github":"https://github.com/SuperCowPowers/workbench","clone":"git clone https://github.com/SuperCowPowers/workbench.git","description":"Workbench: An easy to use Python API for creating and deploying AWS SageMaker Models","language":"Python","stars":51,"topics":["aws","big-data","machine-learning","python","spark","data-engineering","pandas"],"license":"MIT","category":"machine-learning","readme_excerpt":"Live Dashboard Demo You can explore a live demo of the Workbench Dashboard at: Workbench Dashboard Demo Recent News Chemprop Models! All the rage for the Open ADMET Challenge. ADMET Workbench now supports: - Single Task Chemprop Models - Multi Task Chemprop Models - Chemprop + Descriptors Models (MPNN + Molecular Descriptors) - Foundation Chemprop Models (CheMeleon Pretrained) Examples: - Deploying Chemprop Models - Deploying Foundation Chemprop Models References - Open ADMET Challenge - ChemProp: Yang et al. \"Analyzing Learned Molecular Representations for Property Prediction\" J. Chem. Inf. Model. 2019 — GitHub Paper - CheMeleon Github Chemprop Action Shots! Welcome to ADMET Workbench The ADMET Workbench framework makes AWS® both easier to use and more powerful. Workbench handles all the details around updating and managing a complex set of AWS Services. With a simple-to-use Python API and a beautiful set of web interfaces, Workbench makes creating AWS ML pipelines a snap. It also dramatically improves both the usability and visibility across the entire spectrum of services: Glue Job, Athena, Feature Store, Models, and Endpoints, Workbench makes it easy to build production ready, AWS powered, machine learning pipelines. Full AWS ML OverView - Health Monitoring 🟢 - Dynamic Updates - High Level Summary Drill-Down Views - Incoming Data - Glue Jobs - DataSources - FeatureSets - Models - Endpoints Private SaaS Architecture Secure your Data, Empower your ML Pipelines ADMET Workbe","default_branch":null,"files":null,"tree":[],"storefront":"/r/SuperCowPowers","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/SuperCowPowers/workbench/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}