[D] The Complete Guide to Spiking Neural Networks

• RWKV-LM

  84 11,619 8.8 Python

  RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

Is there any relationship to the RWKV large language model?

• SpikeGPT

  7 689 7.2 Python

  Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"

The relationship is that SpikeGPT is inspired/is an implementation of RWKV with SNNs.

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• norse

  6 611 6.5 Python

  Deep learning with spiking neural networks (SNNs) in PyTorch.

  

Surrogate gradients and BPTT, this is what is implemented in Norse https://github.com/Norse/Norse. It is also possible to compute exact gradients using the Eventprop algorithm.

Suggest a related project