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annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

deep-symbolic-optimization

Source code for deep symbolic optimization.

elastiknn

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

faiss

A library for efficient similarity search and clustering of dense vectors.

fly-lsh

An implementation of efficient LSH inspired by fruit fly brain

ggs

Greedy Gaussian Segmentation

hashing-based-network-discovery

Hashing-based network discovery from time series

iengine

lsh_memory

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

lstm-forecasting

How to use PyTorch LSTMs for time series regression

mcmc_lsh

A lsh based sampling method for mcmc

mvts_transformer

Multivariate Time Series Transformer, public version

pyqtgraph

Fast data visualization and GUI tools for scientific / engineering applications

rocket

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

ryven

Flow-based visual scripting for Python

ssh

ssh code

stock-market-forecasting

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

stripe

Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

vest-python

zeegaree