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Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
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Hyperparameter optimization framework, inspired by Optuna.
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Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
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Friendly Federated Learning Framework.
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Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
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Finds accurate ML models automatically, efficiently and economically.
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Ignite your models into blazing-fast machine learning APIs with a modern framework.
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Industrial Grade Federated Learning Framework.
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Machine learning development environment for data science and AI/ML engineering teams.
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Scala Library/REPL for Machine Learning Research.
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Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
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An open source machine learning framework in Rust Δ.
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A fast Clojure Tensor & Deep Learning library.
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Machine Learning framework for rapid development of Machine Learning and Statistical applications.
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Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
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A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
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A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
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Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
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Role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Authors:, Dexter Storey, Ted Spare.
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Fast open framework for deep learning.
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The iOS and OS X neural network framework.
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Official inference framework for 1-bit LLMs, by Microsoft. opensource.