Pinned Repositories
blog-binary-classification-metrics
Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
examples
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
kedro-neptune
📌 Track & manage metadata, visualize & compare Kedro pipelines in a nice UI.
neptune-client
📘 The experiment tracker for foundation model training
neptune-contrib
This library is a location of the LegacyLogger for PyTorch Lightning.
neptune-examples
Examples of using Neptune to keep track of your experiments (maintenance only).
neptune-mlflow
Neptune - MLflow integration 🧩 Experiment tracking with advanced UI, collaborative features, and user access management.
neptune-notebooks
📚 Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projects.
open-solution-mapping-challenge
Open solution to the Mapping Challenge :earth_americas:
open-solution-salt-identification
Open solution to the TGS Salt Identification Challenge
neptune.ai's Repositories
neptune-ai/neptune-client
📘 The experiment tracker for foundation model training
neptune-ai/examples
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
neptune-ai/neptune-notebooks
📚 Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projects.
neptune-ai/neptune-mlflow
Neptune - MLflow integration 🧩 Experiment tracking with advanced UI, collaborative features, and user access management.
neptune-ai/kedro-neptune
📌 Track & manage metadata, visualize & compare Kedro pipelines in a nice UI.
neptune-ai/neptune-r
📒 The MLOps stack component for experiment tracking (R interface)
neptune-ai/neptune-tensorboard
Neptune - TensorBoard integration 🧩 Experiment tracking with advanced UI, collaborative features, and user access management.
neptune-ai/neptune-optuna
🚀 Optuna visualization dashboard that lets you log and monitor hyperparameter sweep live.
neptune-ai/neptune-xgboost
Experiment tracking for XGBoost. 🧩 Log, organize, visualize and compare machine learning model metrics, parameters, dataset versions, and more.
neptune-ai/neptune-sklearn
Experiment tracking for scikit-learn. 🧩 Log, organize, visualize and compare model metrics, parameters, dataset versions, and more.
neptune-ai/neptune-tensorflow-keras
💡 Experiment tracking for TensorFlow/Keras. Log, organize, and compare model metrics, learning curves, hyperparameters, dataset versions, and more.
neptune-ai/neptune-sacred
Sacred-compatible UI for experiment tracking. 📊 Log and visualize machine learning model metrics, hyperparameters, code, dataset versions, and more.
neptune-ai/docs
Neptune documentation
neptune-ai/neptune-fastai
Experiment tracking for fastai. 🧩 Log, organize, visualize and compare model metrics, hyperparameters, dataset versions, and more.
neptune-ai/neptune-airflow
neptune-ai/neptune-client-experimental
neptune-ai/neptune-client-scale
neptune-ai/neptune-fetcher
Neptune Fetcher is designed to separate data retrieval capabilities from the regular neptune package. This separation makes data fetching more efficient and improves performance.
neptune-ai/neptune-lightgbm
Experiment tracking for LightGBM. 🧩 Log, organize, visualize and compare model metrics, parameters, dataset versions, and more.
neptune-ai/neptune-prophet
Experiment tracking for Prophet. 🧩 Log, organize, visualize and compare model parameters, forecasts, and more.
neptune-ai/project-images-segmentation
Experiment tracking and model registry in the images segmentation project
neptune-ai/scale-examples
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
neptune-ai/neptune-api
neptune-ai/neptune-aws
neptune-ai/neptune-detectron2
Experiment tracking for Detectron2. 🧩 Log, organize, visualize, and compare model metrics, hyperparameters, dataset versions, and more.
neptune-ai/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
neptune-ai/load-generator
neptune-ai/ignite
High-level library to help with training neural networks in PyTorch
neptune-ai/neptune-pytorch
Experiment tracking for PyTorch. 🧩 Log, organize, visualize, and compare model metrics, hyperparameters, dataset versions, and more.
neptune-ai/pyproject-flake8
pyproject-flake8 (pflake8), a monkey patching wrapper to connect flake8 with pyproject.toml configuration