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Published directory entries matching your search.
Rockpool is a Python package for developing signal processing applications with spiking neural networks. It allows users to build networks, simulate, train and test them, and deploy them in simulation or on event-driven neuromorphic compute hardware. It provides layers with simulation backends including Brian2, Torch, JAX, Numba and raw numpy.
ClearML is an AI infrastructure platform organized in three layers. The Infrastructure Control Plane connects and manages GPU clusters across on-premises, cloud, and hybrid environments, with multi-tenancy, role-based access control, and billing. The AI Development Center provides a workbench for developing, training, and testing models. The GenAI App Engine deploys LLMs onto clusters, with ClearML handling networking, authentication, and security.
Archai is an open-source project developed by Microsoft and hosted on GitHub. It is designed to accelerate neural architecture search (NAS) research by providing fast, reproducible, and modular tooling for developing, testing, and refining new neural network architectures.
dl4clj is a Clojure port of deeplearning4j. It provides stable features with tests, a neural networks DSL, early stopping, training, transfer learning and evaluation. The project is not yet released to Clojars.
A beginner-friendly guide on using Keras to implement a simple neural network in Python. It walks through MNIST handwritten digit classification, covering setup, data preparation, building the model, compiling, training, testing and using the model. It is intended for complete beginners to Keras who have a basic background knowledge of neural networks.
