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Awesome Music Theory is a GitHub repository or organization with source code, releases, documentation, or project resources.
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List of awesome compiler projects and papers for tensor computation and deep learning.
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A curated list of R packages, frameworks and software, organized into sections such as integrated development environments, data manipulation and machine learning. The repository also links to learning resources including websites, books and MOOCs.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Better Canvas is an open-source browser extension that adds customization and utility features to the Canvas learning management system interface. Its features include a customizable dark mode, improved todo list, GPA calculator, dashboard grade display, assignment reminders, and support for user-created themes.
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CPU and GPU-accelerated Machine Learning Library.
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Brainstorm is a GitHub repository for a neural network library developed by IDSIA. It is designed to be fast, flexible, and fun for neural network development, with documentation and support resources available for users implementing the library.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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burn is a next-generation tensor library and deep learning framework developed by tracel-ai. It is designed to prioritize flexibility, efficiency, and portability, with available resources covering use with Rust, its ecosystem, supported backends, and training and inference functionality.
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Caffe is a deep learning framework developed by Berkeley AI Research and community contributors, designed with expression, speed, and modularity in mind. It is released under the BSD 2-Clause license and includes associated reference models.
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Candle is a minimalist machine learning framework for Rust with a focus on performance, including GPU support, and ease of use. It provides examples and online browser demos for models such as whisper, LLaMA2, T5, yolo and Segment Anything.
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Catniff is a small deep learning framework for JavaScript built to be Torch-like and inspired by Tinygrad APIs. It is under development, and its APIs can be unstable and backwards-incompatible. It provides tensors, autograd and optimizers, and is installed through npm.
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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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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A PyTorch based deep learning library for drug pair scoring.
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Implementation of Random Forest in Common Lisp.
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Open-source Python library for data-centric AI that helps clean data and labels by automatically detecting issues in machine learning datasets. It uses existing models to estimate dataset problems that can be fixed to train better models. It runs on Python 3.10+ and works with any model across classification, regression, segmentation and object detection tasks.
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climin is a Python package for optimization that is heavily biased toward machine learning scenarios, distributed under the BSD 3-clause license. It works on top of numpy and partially gnumpy, and was started in winter 2011 by Christian Osendorfer and Justin Bayer.
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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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Multidimensional cluster generation in Julia.
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Multidimensional cluster generation in R.
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Basic functions for clustering data: k-means, dp-means, etc.