Deep and Machine Learning for Microscopy
- microscopy
- materials
- machine-learning
- materials-science
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Deep and Machine Learning for Microscopy
64-Channel Multi-Track Sequencer with Touch Screen, 16 Step Encoders, 8 CV/Gate Outputs, 5 MIDI Ports and Internal Sound Engine
TranslatedActionScript (AS3) library for processing binary data. This library contains MD5, SHA-1, SHA-2 ( SHA-224 and SHA-256 ), Base64, CRC32 algorithms, JSON encoder & decoder as well as PNG and JPEG encoders.
Generates Elm types, JSON decoders, JSON encoders and fuzz tests from JSON schema specifications
Ada Utility Library - Composing streams, processes, logs, serialization, encoders and more
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Generate Elm types, encoders, and decoders from Haskell types
A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
Official implementation of JAMIE, Joint variational Autoencoders for Multimodal Imputation and Embedding