A PyTorch-based framework to train and validate the models producing high-quality embeddings.
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Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Source code for Toxic Comment Classification Challenge.
NuMind builds state-of-the-art multimodal LLMs for document extraction, available via SaaS or enterprise deployment for control and privacy.
Matlab is a great language for prototyping ideas. It comes with many libraries specially for machine learning and statistics. But when….
Helps find, analyze or synthesize information for research and knowledge discovery.
Semantic search and workflows powered by language models.
Clojure Fast Matrix Library - GPU and native CPU.
Napkin turns your text into visuals so sharing your ideas is quick and effective.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Creates, rewrites or summarizes written content with language models.
Close your Morpher positions on Base during the wind-down. Settle at a locked final price and reclaim your MPH.
More human than human: measuring ChatGPT political bias Public Choice provides machine-learning models, research, training resources, or evaluation…
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A library consisting of useful tools for data science and machine learning tasks.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
A set of functions to support the development of machine learning algorithms.
All-in-one web-based IDE specialized for machine learning and data science.
MITRE ATLAS™ provides machine-learning models, research, training resources, or evaluation tools.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.