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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.
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.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
A flexible and efficient library for deep learning.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Visualizer for neural network, deep learning and machine learning models.
A PyTorch implementation of DeepDream.
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).
Free and open source face recognition with deep neural networks.
Enables single machine or distributed training and evaluation of deep learning models.
A platform for reproducible and scalable machine learning and deep learning on kubernetes.
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.
Intelligent AI canvas for deep work, research, and learning.