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neptune.ml
- Warsaw
- https://neptune.ml
Stars
An end-to-end implementation of intent prediction with Metaflow and other cool tools
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
A living document of hand-picked resources for marketers working on dev-centric products.
📌 Track & manage metadata, visualize & compare Kedro pipelines in a nice UI.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
😎 A curated list of awesome MLOps tools
📘 The experiment tracker for foundation model training
♾️ CML - Continuous Machine Learning | CI/CD for ML
moDel Agnostic Language for Exploration and eXplanation
An unstructured set of helper functions
PyTorch deep learning projects made easy.
Text preprocessing, representation and visualization from zero to hero.
Build a Complex Reporting Dashboard using Dash and Plotly
Hydra is a framework for elegantly configuring complex applications
A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.
A collection of loss functions for medical image segmentation
HiPlot makes understanding high dimensional data easy
Temporary home for fastai v2 while it's being developed
torchbearer: A model fitting library for PyTorch
A little word cloud generator in Python
📝 python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Python library for interactive topic model visualization. Port of the R LDAvis package.
A scikit-learn compatible neural network library that wraps PyTorch