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abcboost

adamm

admnc

Spark implementation of the Anomaly Detection with Mixed Numerical and Categorical inputs (ADMNC) algorithm

algebird

Abstract Algebra for Scala

antispame_offline

augsplicing

autoaudit

Code for paper "AutoAudit: Mining Accounting and Time-Evolving Graphs" (Big Data 2020)

awesome-deep-graph-anomaly-detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors

awesome-gnn4tdl

awesome-gnn4ts

Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

awesome-higherordergraph

Collection of papers relating data-driven higher-order graph/networks researches.

awesome-self-supervised-learning-for-tabular-data

A collection of research materials on SSL for tabular data

bagminhash

BagMinHash - Minwise Hashing Algorithm for Weighted Sets

benchmarking-gnns

Repository for benchmarking graph neural networks

bloom-filter-scala

Bloom filter for Scala, the fastest for JVM

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

d-flash

Distributed locally sensitive hashing algorithm for similarity search with ultra high dimensionality datasets

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

dasong

DaSong: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.

data-mining

Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course

datasketch

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

deep-reasoning-papers

Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

densest-subgraph

Epasto et al. Efficient Densest Subgraph Computation in Evolving Graphs, WWW, 2015

direct

DIRECT (Robust high-dimensional classification from few positive examples)

dyadic-explanation-tree

Implementation in Apache Spark of a clustering algorithm that offers explainable results.

falconn

FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

financial-graphattention

FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks

findopendata

A search engine for Open Data

flash

LSH-GPU ANN package