Machine learning library written in pure Go.
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A high-level machine learning library in the vein of Keras.
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
A hands-on course to train and deploy a serverless API that predicts crypto prices.
Fundamentals of machine learning in python.
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python materials for the online course on diffusion models by @huggingface.
Platform for deploying your Machine Learning to production.
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
General Automated Machine Learning Framework.
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
A toolkit to help understand models and enable responsible machine learning.
Autograd and XLA for high-performance machine learning research.
A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
Clojure wrapper for deeplearning4j with some added syntactic sugar.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Kernel density estimators for Julia.
Koç University Deep Learning Framework.