Creating semantic cache to store responses from LLM queries.
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GPU cluster manager for running and managing LLMs.
Library for calculating great circle distance.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
Beer glass classifier created with Synaptic.
A curated list of Large Language Model.
Run LLM backends, APIs, frontends, and services with one command.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Framework for distributed hyperparameter optimization.
Making large AI models cheaper, faster and more accessible.
Library for hyperparameter optimization and black box optimization benchmarks.
"building applications with LLMs through composability".
A framework for elegantly configuring complex applications.
A very simple wrapper for convenient hyperparameter optimization.
Distributed Asynchronous Hyperparameter Optimization in Python.
Toolset for black-box hyperparameter optimisation.
An open-source visual programming environment for battle-testing prompts to LLMs.
Julia-language backend combined with the Jupyter interactive environment.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
Rails-like inflection library for Clojure and ClojureScript.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Framework to connect a flow of ML models by applying graph theory.