A Julia package for manifold learning and nonlinear dimensionality reduction.
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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).
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
A Modular Framework for Multi-Modal Tabular Learning.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
Implementing a ChatGPT-like LLM from scratch, step by step.
Restricted Boltzmann Machines in Python. [DEEP LEARNING].
Deep learning based facial detector for Python coming with facial landmarks.