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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.
An open source Python library for drift detection in machine learning systems.
FutureTools supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Telegram link is a Telegram channel, group, or bot link for updates, files, community posts, or support.
Unsupervised machine learning with multivariate Gaussian mixture model.
Julia package for Gaussian processes.
genei applies AI to workplace tasks, meetings, sales, marketing, or productivity.
Creates, rewrites or summarizes written content with language models.
Generative AI for Beginners is an AI tool or resource for chat, research, automation, media generation, or model development.