Stars
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
A customisable 3D platform for agent-based AI research
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently us…
Automatically exported from code.google.com/p/word2vec
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
Word Mover's Distance from Matthew J Kusner's paper "From Word Embeddings to Document Distances"
darknet neural network addon for openFrameworks
A Python module to decode video frames directly, using the FFmpeg C API.
Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"
Convert word2vec vectors between binary and plain text format
A beautiful command-line application designed to help you keep track of your expenses.
Tool to compress trained caffe weights
📱 Binarized Neural Network TF training code + C matrix / eval library.
An extension of word2vec to efficiently represent new text as vectors. New text can be query, sentence and paragraph.
torch data augmentation toolbox (supports affine transform)
Cache and main memory hog programs. These are programs with specific access patterns to evict the already existing cache blocks of various applications. These programs were designed to demonstrate …
an openframeworks app that live-captions your desktop screen with a neural net
MID (Mutual Information Dimension) for measuring statistical dependence between two random variables
Code related to "Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis" (EACL 2017)