Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Library for high performance deep learning inference on NVIDIA GPUs.
Drag & drop UI to build your customized LLM flow using LangchainJS.
Friendly Federated Learning Framework.
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
Finds accurate ML models automatically, efficiently and economically.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Python library for automated feature engineering.
Feature engineering package with SKlearn like functionality.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Feature store for machine learning.
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine learning development environment for data science and AI/ML engineering teams.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.