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A temporal extension of PyTorch Geometric for dynamic graph representation learning.
Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
Examples and guides for using the OpenAI API.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
LynxKite provides AI-assisted learning, courses, tutorials, or study support.
Convert images and PDFs to LaTeX, DOCX, Overleaf, Markdown, Excel, ChemDraw and more, with our AI-powered document conversion technology.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
Is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Deep Neural Networks for Golang (powered by MXNet).
A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field.
Large scale Gaussian Mixture Models.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
DataRobot delivers the industry- AI applications and platform that maximize impact and minimize risk for your business.
Where the pros learn the AI skills of the future. Explore your creativity with our hands-on AI courses.
Neural networks, regression and feature learning in Clojure.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
Fast, flexible and fun neural networks. This is the successor of PyBrain.