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An open-source visual programming environment for battle-testing prompts to LLMs.
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Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
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General Automated Machine Learning Framework.
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A very simple wrapper for convenient hyperparameter optimization.
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A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
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Platform for deploying your Machine Learning to production.
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General Machine Learning library using Numenta’s Cortical Learning Algorithm.
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Library for hyperparameter optimization and black box optimization benchmarks.
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Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Run LLM backends, APIs, frontends, and services with one command.
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Fundamentals of machine learning in python.
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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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Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
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The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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GPU cluster manager for running and managing LLMs.
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Creating semantic cache to store responses from LLM queries.
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Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.