feast.dev
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Directory
Search results
Published directory entries matching your search.
github.com
Feature store for machine learning.
github.com
Feature engineering package with SKlearn like functionality.
github.com
Python library for automated feature engineering.
github.com
A highly-modular C++ machine learning library for embedded electronics and robotics.
github.com
A Scala library for constructing probabilistic models.
github.com
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
docs.unsloth.ai
Documentation for Fine Tuning Guide, covering setup, features, and practical usage.
github.com
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
github.com
Ignite your models into blazing-fast machine learning APIs with a modern framework.
github.com
Finds accurate ML models automatically, efficiently and economically.
github.com
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
github.com
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
github.com
Easy-to-use and flexible AutoML library for Python.
github.com
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
github.com
Friendly Federated Learning Framework.
github.com
Drag & drop UI to build your customized LLM flow using LangchainJS.
fluxml.ai
The elegant machine learning library.
github.com
Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost.
github.com
Library for high performance deep learning inference on NVIDIA GPUs.
github.com
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
github.com
An open source Python library for drift detection in machine learning systems.
futuretools.io
FutureTools supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
Unsupervised machine learning with multivariate Gaussian mixture model.