Go binding for MXNet c predict api to do inference with a pre-trained model.
Directory
Search results
Published directory entries matching your search.
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.
An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
Large Language Model Text Generation Inference.
Voice Models uses AI for speech, voice, transcription, music, or other audio workflows.
🔭 The Einstein AI model provides machine-learning models, research, training resources, or evaluation tools.
Google Speech Gen helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
A machine learning / bayesian inference assigning attributes to objects.
Creates or edits images with generative models and visual controls.
Agenta supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Helps teams build, deploy, observe or operate machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source Python library enabling ML model inspection and interpretation.