Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
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C, C++, and Python tools for named entity recognition and relation extraction.
A Julia package for fitting (statistical) mixed-effects models.
No need to keep checking your training, just one import line and you'll know the second it's done.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Visual testing tool for MCP servers.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
Global, black box optimization engine for real world metric optimization by Yelp.
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Llama3 implementation one matrix multiplication at a time.
A Natural Adversarial Language Processing framework built over Tensorflow.
General natural language facilities for node.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Semantic search and workflows powered by language models.
A PyTorch implementation of DeepDream.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
Natural Language processing in the browser.
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
A Julia package for non-negative matrix factorization.
Nn builder is a python package that lets you build neural networks in 1 line.
This package provides graphical computation for nn library in Torch7.