Bolt compresses vectors of real-valued data and runs mathematical operations directly on the compressed representations, achieving significant space and compute savings. The repository also includes MADDNESS, an algorithm for fast approximate matrix multiplication with zero multiply-adds under reasonable assumptions. Both are primarily aimed at accelerating neural network inference on CPUs.