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TensorFlow has C APIs. I developed KANN from scratch for deep learning. It supports CNN, LSTM and complex topologies. For simple MLPs, you can implement your own as a practice. Use a BLAS library for performance.
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TensorFlow has C APIs. I developed KANN from scratch for deep learning. It supports CNN, LSTM and complex topologies. For simple MLPs, you can implement your own as a practice. Use a BLAS library for performance.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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yes, in subfield of ML like DNL and CNL, C||C++ are commonly used, darkent is open source neural network framework written in c and cuda .
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deepC
vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
You could try things like deepC but that is again C++ https://github.com/ai-techsystems/deepC