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Koç University Deep Learning Framework.
Deep learning framework written in Kotlin.
Lightly is a computer vision framework for self-supervised learning.
A Julia package for manifold learning and nonlinear dimensionality reduction.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
Flexible Deep Learning Framework in Julia.
An open source robotics benchmark for meta- and multi-task reinforcement learning.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
A modular active learning framework for Python, built on top of scikit-learn.
Discover open source deep learning code and pretrained models.
List of molecular design using Generative AI and Deep Learning.
A flexible and efficient library for deep learning.
Helps find, analyze or synthesize information for research and knowledge discovery.
Support Vector Machine for Node.js.
An open-source cross-platform performance library for deep learning applications.
OneFlow is a performance-centered and open-source deep learning framework.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
Step by step guide to learning Prompt Engineering in 2026.
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.