Search results

Unified interface to ggplot2 popular R packages.

Package mat provides implementations of float64 and complex128 matrix structures and linear algebra operations on them.

Access all JetBrains IDEs, plugins, and courses for your studies and future tech career.

MatlabBGL is a Matlab package for working with graphs.

A fundamental package for scientific computing with Python.

Tm and are the main packages for managing, analyzing, and visualizing textual data.

Julia package for loading many of the data sets available in R.

Eurybia monitors data and model drift over time and securizes model deployment with data validation.

A model gateway and unified interface for multiple model providers.

Models.dev is a GitHub repository or organization with source code, releases, documentation, or project resources.

Google AI Mode is an AI tool or resource for chat, research, automation, media generation, or model development.

Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.

Open-source platform for high-performance ML model serving.

Unsupervised machine learning with multivariate Gaussian mixture model.

Go binding for MXNet c predict api to do inference with a pre-trained model.

How to Evaluate Large Language Model Outputs: Current Practices FinetuneDB provides machine-learning models, research, training resources, or…

Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.

Open source MLOps project that eases model handoffs between data scientist and DevOps.

Discover the large language models examples with insights on business adoption, language model training, and influential models.

LLM Model VRAM Calculator provides machine-learning models, research, training resources, or evaluation tools.

Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.

Python-free Rust inference server with OpenAI API compatibility and hot model swapping.