GitHub topics: ml-experiments
caraml-dev/xp
ML Experimentation Platform
Language: Go - Size: 6.79 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 17 - Forks: 11
iglee/jax-cuda-eicl-exp-docker
Docker for getting jax to work with cuda, for reproducing ml experiments like eicl. Sure, let's NOT make a compatibility matrix and let people fight for their lives on cuda
Language: Shell - Size: 3.91 KB - Last synced at: 23 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
Gianatmaja/WhizML
A reusable codebase for fast data science and machine learning experimentation, integrating various open-source tools to support automatic EDA, ML models experimentation and tracking, model inference, model explainability, bias, and data drift analysis.
Language: Python - Size: 59.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Gianatmaja/WhizML-CVD_Analysis
An application of the WhizML codebase for an analysis of cardiovascular disease risk.
Language: Python - Size: 5.08 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Gianatmaja/WhizML-Walmart_Sales
An application of the WhizML codebase for an analysis of Walmart weekly sales.
Language: Python - Size: 2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
sy2002/ai-playground
Unsorted Playground for Machine Learning, Reinforcement Learning and other AI Experiments
Language: Jupyter Notebook - Size: 5.86 MB - Last synced at: 4 days ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 0
carted/cloud-next-22-terraform
Contains code and slides for our talk at Cloud Next 2022: Better Hardware Provisioning for ML Experiments on GCP.
Language: HCL - Size: 971 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
Vevesta/VevestaX
2 Lines of code to track ML experiments + EDA + check into Github
Language: Jupyter Notebook - Size: 2.45 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 8
