DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
BSD-3-CLAUSE License
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query...
An I/O benchmark for deep Learning applications
Python library to easily log experiments and parallelize hyperparameter search for neural networks
A library for scientific machine learning and physics-informed learning
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from...
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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstract...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
A deep learning package for many-body potential energy representation and molecular dynamics