neptune-ai / neptune-mlflow
Neptune - MLflow integration 𧩠Experiment tracking with advanced UI, collaborative features, and user access management.
β31Updated 11 months ago
Related projects β
Alternatives and complementary repositories for neptune-mlflow
- Tutorial for a new versioning Machine Learning pipelineβ81Updated 3 years ago
- Comet-For-MLFlow Extensionβ55Updated 5 months ago
- A stacked generalization framework. Built on top of scikit learnβ57Updated last year
- Preparing continuous features for neural networks with GaussRankβ45Updated 6 years ago
- A queue service for quickly developing scripts that use all your GPUs efficientlyβ82Updated 2 years ago
- Convenient DL servingβ72Updated 3 years ago
- Dockerized version of Jupyter with installed Keras, TensorFlow, Theano, etcβ22Updated last year
- ML model serving app based on APIsβ71Updated 2 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.β101Updated 3 years ago
- Machine learning utilities for model conversion, serialization, loading etcβ27Updated last year
- The stand-alone training engine module for the ALOHA.eu project.β15Updated 5 years ago
- Lightweight, Python library for fast and reproducible experimentationβ134Updated 5 years ago
- a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughoutβ¦β128Updated last year
- Experiment orchestrationβ103Updated 4 years ago
- Train multi-task image, text, or ensemble (image + text) modelsβ45Updated last year
- AWS Spot instances for MLβ39Updated last year
- Python client for https://losswise.com/dashboardβ22Updated 3 years ago
- A tutorial example for nbdevβ15Updated 2 years ago
- General Interpretability Packageβ58Updated last year
- High level utility functions for using Rapids on Kaggle Competitionsβ27Updated 4 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.β94Updated 2 months ago
- β52Updated 6 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimatorsβ51Updated last year
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)β47Updated 3 years ago
- Simple Machine Learning Web API Example with Falconβ50Updated 11 months ago
- Streamlined machine learning experiment management.β106Updated 4 years ago
- Run any Jupyter notebook instantly using Kaggle kernelsβ63Updated 4 years ago
- A lightweight command line interface for the management of arbitrary machine learning tasksβ19Updated 3 years ago
- Using Fastai library to classify Twitter jokes in Spanishβ12Updated 5 years ago
- TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.β82Updated 2 years ago