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A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.
A curated list of best AI resources for developers, including tutorials, libraries, and tools.
A curated list of Machine Learning, AI, and NLP solutions for iOS development.
Knet.jl is a deep learning framework for the Julia programming language, focused on research and scientific computing.
Unified Training of Universal Time Series Forecasting Transformers for accurate time series forecasting.
Provides a collection of efficient and well-tested metric learning algorithms in Python for machine learning tasks.
A set of Swift types and functions that make it easier to work with Core ML in iOS apps.
Reference Jupyter notebooks and demo AI/ML applications for enterprise use cases
PointCNN: A deep learning model for point cloud processing and feature extraction.
This open-source repository provides a comprehensive set of Chinese tutorials for the popular OpenCV computer vision library in Python.
A research framework for easy and efficient training of Generative Adversarial Networks (GANs) based on PyTorch.
This is a Python library for learning the principles of machine learning.
A collection of concise and beautiful algorithms written in the Julia programming language.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
An open-source differentiable dense SLAM library for PyTorch, focused on 3D reconstruction and robotics.
A neural network built in Apple Playground using Swift for emoji intelligence
A library that provides seamless model explainability for transformers models in just 2 lines of code.
A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.
A repository providing data science tools and examples for the Google Cloud Platform.
Softlearning is a powerful reinforcement learning framework for training maximum entropy policies in continuous domains.
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