If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, pytorch is now a highly recommended, ...
If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, tensorflow need no introduction. It is ...
Abstract: The computational efficiency of neural network architectures is a key factor in their adoption for real-time, low-power, or resource-constrained applications. The recently proposed Mamba ...
We are training a purely PyTorch-native Mamba-2 architecture (GAMamba). We use an AdamW optimizer with cosine annealing (Note: we previously used SOAP, but the LOB data's ultra-low signal-to-noise ...
MiniMamba v1.0.1 is a production-ready PyTorch implementation of the Mamba architecture — a Selective State Space Model (S6) for fast and efficient sequence modeling. This major release features ...
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward inference efficiency alongside model quality. While ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results