Skip to main content

PyTorch module for random projection hashing

Project description

Random Projection Hashing

Provides a PyTorch module for random projection hashing with GPU acceleration. Similar tensors (cosine similarity) will be assigned the same hash with high probability.


$ pip install rph


See for an example on how to use rph on DNA strings. Please note that rph can be used with any arbitrary tensors. In summary, this package provides a module RandomProjectionHashModule(input_dim, hash_bits) where input_dim is the size of the input tensors and hash_bits is the number of bits to use for the final hash value. For example, choosing 4 bits will result in all tensors being split into 16 buckets only.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rph-1.0.0.tar.gz (2.0 kB view hashes)

Uploaded source

Built Distribution

rph-1.0.0-py3-none-any.whl (3.2 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page