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Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
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JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Magenta is a research project exploring machine learning in art and music creation, developing deep learning and reinforcement learning algorithms for generating songs, images, and drawings. It also explores tools letting artists and musicians extend their processes with these models. The repository is archived and read-only.
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A Python module for metric learning.
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Metric Learning Algorithms in Python.
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ml.js is an open-source machine learning toolset implemented in JavaScript, hosted in the mljs/ml GitHub repository. It provides libraries for both supervised and unsupervised machine learning tasks, alongside usage resources and standalone example code for users.
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A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
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Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
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Netron is a viewer for neural network, deep learning and machine learning models. It supports formats including ONNX, TensorFlow Lite, PyTorch, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors and NumPy. It is available as a browser version and installers for macOS, Linux and Windows, plus a Python package. Experimental support exists for MLIR, JAX, GGUF and other formats.
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NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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numpy-ML is a GitHub-hosted library that implements various machine learning algorithms using only NumPy. The project emphasizes rapid experimentation and can be used as a package. It covers a range of ML methods and includes documentation for users. The repository is open source and welcomes contributions.
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Pavlov.js is a reinforcement learning library that uses Markov Decision Processes. It is written in C++ and compiled to JavaScript. The package is installed through npm. Users define transitions and rewards, then call learn to derive a policy and query actions for states.
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Perfect TensorFlow is an experimental wrapper of the TensorFlow C API that enables machine learning in server-side Swift. It builds with Swift Package Manager and can be used as part of the Perfect project or as an independent module. The framework conforms to TensorFlow v1.8.0 C API functionality.
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PyTorch Geometric Temporal is a temporal extension library for PyTorch Geometric. It contains dynamic and temporal geometric deep learning, embedding and spatio-temporal regression methods from published research papers. It includes a dataset loader, train-test splitter and temporal snapshot iterator for dynamic and temporal graphs, with GPU support and benchmark datasets.
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A tutorial project for applying machine learning in Python with scikit-learn, a Python module built on numpy and scipy. It aims to teach practical application of scikit-learn algorithms; the stated audience is experienced Python developers familiar with numpy and scipy. Prebuilt PDF and HTML versions, tutorial source and exercise solutions are available, and the material is under a Creative Commons Attribution 3.0 license.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
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Adaptive Reliability Layer is a Python project that sits between an inference pipeline and a monitoring layer. It detects distribution shift, decides whether adaptation is warranted, and learns from delayed revealed labels. It does not replace the model.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.