Feature store for machine learning.
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Feature engineering package with SKlearn like functionality.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
Python library for automated feature engineering.
Python distributed computing library for modern computer clusters.
A highly-modular C++ machine learning library for embedded electronics and robotics.
A Scala library for constructing probabilistic models.
Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
Using AI, FinChat generates answers to questions about public companies and investors.
Documentation for Fine Tuning Guide, covering setup, features, and practical usage.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Ignite your models into blazing-fast machine learning APIs with a modern framework.
Finds accurate ML models automatically, efficiently and economically.
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
Easy-to-use and flexible AutoML library for Python.
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
Friendly Federated Learning Framework.
Drag & drop UI to build your customized LLM flow using LangchainJS.
The elegant machine learning library.
Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost.
Library for high performance deep learning inference on NVIDIA GPUs.
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.