replicate / keepsakeLinks
Version control for machine learning
β1,669Updated 3 months ago
Alternatives and similar repositories for keepsake
Users that are interested in keepsake are comparing it to the libraries listed below
Sorting:
- Hummingbird compiles trained ML models into tensor computation for faster inference.β3,443Updated 2 months ago
- πͺβKnock Knock: Get notified when your training ends with only two additional lines of codeβ2,820Updated last year
- βΎοΈ CML - Continuous Machine Learning | CI/CD for MLβ4,107Updated 2 weeks ago
- The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorfloβ¦β808Updated 3 years ago
- Experiment tracking, ML developer toolsβ882Updated last month
- A graph-based functional API for building complex scikit-learn pipelines.β589Updated 2 years ago
- Deploy a ML inference service on a budget in less than 10 lines of code.β1,344Updated last year
- Aim π« β An easy-to-use & supercharged open-source experiment tracker.β5,649Updated this week
- Toolbox of models, callbacks, and datasets for AI/ML researchers.β1,730Updated 2 weeks ago
- Coarse-grained lineage and tracing for machine learning pipelines.β469Updated 2 years ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networksβ1,614Updated 2 weeks ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networksβ570Updated 3 years ago
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.β4,313Updated 6 months ago
- HiPlot makes understanding high dimensional data easyβ2,793Updated last year
- β771Updated last year
- Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domainsβ1,744Updated last year
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.β1,431Updated last month
- BanditPAM C++ implementation and Python packageβ652Updated this week
- Generic template to bootstrap your PyTorch project.β645Updated last year
- Research papers with annotations, illustrations and explanationsβ827Updated 4 years ago
- Algorithms for explaining machine learning modelsβ2,521Updated last week
- Web-based dashboard for Sacredβ548Updated 2 years ago
- MADGRAD Optimization Methodβ801Updated 4 months ago
- Training deep learning models on AWS and GCP instancesβ491Updated last year
- A platform for managing machine learning experimentsβ858Updated 3 weeks ago
- A model-agnostic visual debugging tool for machine learningβ1,667Updated 4 months ago
- A uniform interface to run deep learning models from multiple frameworksβ934Updated last year
- Accelerated deep learning R&Dβ3,354Updated last year
- Research workflows made easy, locally and in the Cloud.β500Updated last year
- PyTorch elastic trainingβ728Updated 3 years ago