Displaying 1 to 5 from 5 results

meyda - Audio feature extraction for JavaScript.

  •    Javascript

Meyda is a Javascript audio feature extraction library. Meyda supports both offline feature extraction as well as real-time feature extraction using the Web Audio API. We wrote a paper about it, which is available here. Please see the documentation for setup and usage instructions.

fetchmail - TLS-enabled mail retrieval and forwarding agent

  •    C

Fetchmail is a full-featured, robust, well-documented remote-mail retrieval and forwarding utility intended to be used over on-demand TCP/IP links (such as SLIP or PPP connections). It supports every remote-mail protocol now in use on the Internet: POP2, POP3, RPOP, APOP, KPOP, all flavors of IMAP, ETRN, and ODMR. It can even support IPv6 and IPSEC.

salbow - Saliency Weighted Convolutional Features for Instance Search

  •    Python

This work explores attention models to weight the contribution of local convolutional representations for the instance search task. We present a retrieval framework based on bags of local convolutional features (BLCF) that benefits from saliency weighting to build an efficient image representation. The use of human visual attention models (saliency) allows significant improvements in retrieval performance without the need to conduct region analysis or spatial verification, and without requiring any feature fine tuning. We investigate the impact of different saliency models, finding that higher performance on saliency benchmarks does not necessarily equate to improved performance when used in instance search tasks. The proposed approach outperforms the state-of-the-art on the challenging INSTRE benchmark by a large margin, and provides similar performance on the Oxford and Paris benchmarks compared to more complex methods that use off-the-shelf representations. Precomputed data contained saliency predictions for the three datasets, and BLCF models, assignment maps and raw features.

godnf - golang, dnf algorithm

  •    Go

golang, dnf algorithm




Hash-project - Hash-project is a crypto tool

  •    Python

A hash function is any function that can be used to map data of arbitrary size to fixed-size values. The values returned by a hash function are called hash values, hash codes, digests, or simply hashes. The values are used to index a fixed-size table called a hash table. Use of a hash function to index a hash table is called hashing or scatter storage addressing. Hash functions and their associated hash tables are used in data storage and retrieval applications to access data in a small and nearly constant time per retrieval, and storage space only fractionally greater than the total space required for the data or records themselves. Hashing is a computationally and storage space efficient form of data access which avoids the non-linear access time of ordered and unordered lists and structured trees, and the often exponential storage requirements of direct access of state spaces of large or variable-length keys.






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