Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
Repository Index
47,133 repositories indexed
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StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
- security
- kinesis
- serverless
- terraform
:surfer: Traceable, extendable and minimalist **event bus** implementation for Elixir with built-in **event store** and **event watcher** based on ETS.
- elixir
- eventbus
- event-sourcing
- eventstore
An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.
- cpp
- cplusplus
- cplusplus-17
- actor-model
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
- data-analytics
- data-cleaning
- data-cleansing
- data-engineering
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
- natural-language-processing
- nlp
- big-data
- data-mining
🔊Minimalist message bus implementation for internal communication with zero-allocation magic on Emit
- eventbus
- message-bus
- pubsub
- message-broker
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
- isolation-forest
- spark
- outlier-detection
Formal specification and generation of verifiable binary parsers, message generators and protocol state machines
General-purpose, formally-verified, 64-bit operating system in SPARK/Ada for x86-64
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
Scramjet Platform is a distributed runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters without exposing network ports to the public internet.
- nodejs
- stream-processing
- transform-as-a-service
- real-time
hypermatch is a high-performance ⚡ Go library designed for rapid matching of a large number of rules to events. It processes thousands of events per second 🚀 against extensive rule sets in-memory with minimal latency ⏱️.
- go
- golang
- matching
- matching-engine
Distributed, Scalable, Fault-Tolerant, Minimalistic Workflow Engine - No DAGs, No YAML, No Cumbersome Diagrams, Just Code
- business-process
- kafka
- kafka-streams
- micorservices
Declarative data quality engine. Define checks in YAML, run anywhere.
- airflow
- anomaly-detection
- data-contracts
- data-quality
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
- anomaly-detection
- bigquery
- cli
- data-engineering
SPARK TOTP library