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"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".
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github.com
Hyperparameter optimization framework, inspired by Optuna.
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Command line tool to mass upload media folders to your google photos account(s) (Mac OS / Linux)
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GPT Mobile is an Android app that can chat with multiple LLMs at once! Currently supports ChatGPT, Anthropic Claude, and Google Gemini.
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Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
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Creating semantic cache to store responses from LLM queries.
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GPU cluster manager for running and managing LLMs.
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Library for calculating great circle distance.
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Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
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A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
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Beer glass classifier created with Synaptic.
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A curated list of Large Language Model.
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Run LLM backends, APIs, frontends, and services with one command.
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Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
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Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Framework for distributed hyperparameter optimization.
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Making large AI models cheaper, faster and more accessible.
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Library for hyperparameter optimization and black box optimization benchmarks.
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"building applications with LLMs through composability".
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A framework for elegantly configuring complex applications.
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A very simple wrapper for convenient hyperparameter optimization.
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Distributed Asynchronous Hyperparameter Optimization in Python.
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Toolset for black-box hyperparameter optimisation.
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An open-source visual programming environment for battle-testing prompts to LLMs.