Stars
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
An industrial deep learning framework for high-dimension sparse data
A library for efficient similarity search and clustering of dense vectors.
Generate embeddings from large-scale graph-structured data.
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
FlatBuffers: Memory Efficient Serialization Library
Production-Grade Container Scheduling and Management
Representation learning on large graphs using stochastic graph convolutions.
A curated list of network embedding techniques.
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
A Tensorflow implementation of Collaborative Metric Learning (CML)
Library for fast text representation and classification.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A vim plugin to display the indention levels with thin vertical lines
Asch is an efficient, flexible, safe and decentralized application platform, which was initially designed to lower the barrier to entry for developers.The services provided by the Asch platform inc…
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …
Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.
Various hashing methods for image retrieval and serves as the baselines
Automatically exported from code.google.com/p/word2vec
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
GoogleTest - Google Testing and Mocking Framework