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RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.

Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)

MicroPython Library for new MAX31856 (Precision Thermocouple to Digital Converter with Linearization) with 19-Bit Thermocouple Temperature Resolution. This chip provides a SPI digital interface for Thermocouple Types B, E, J, K, N, R, S or T.