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Koç University Deep Learning Framework.

Deep learning framework written in Kotlin.

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.

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.

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.

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).

Enables single machine or distributed training and evaluation of deep learning models.

A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.

Deep learning framework to train, deploy, and ship AI products Lightning fast.

A PyTorch-Based Framework for Deep Learning in Computer Vision.

Restricted Boltzmann Machines in Python. [DEEP LEARNING].

Deep learning based facial detector for Python coming with facial landmarks.

Uniform deep learning inference framework for mobile, desktop and server.

Theano based library for deep and recurrent neural networks.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Cheaper V4 model, supports thinking and non-thinking modes.