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"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".
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Hyperparameter optimization framework, inspired by Optuna.
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A high-level machine learning library in the vein of Keras.
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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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Fundamentals of machine learning in python.
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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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Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
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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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General Machine Learning library using Numenta’s Cortical Learning Algorithm.
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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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Platform for deploying your Machine Learning to production.