Fast and Accurate ML in 3 Lines of Code
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UAParser.js: The Essential Web Development Tool for User-Agent Detection. Detect Browsers, OS, Devices, Bots, Apps, AI Crawlers, and more. Run in Browser or Node
- user-agent-parser
- browser-detection
- user-agent
- client-hints
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
A python library for user-friendly forecasting and anomaly detection on time series.
- python
- time-series
- forecasting
- machine-learning
Laravel Stats Tracker
- php
- user-tracker
- stats
- laravel
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
Windows Events Attack Samples
- threat-hunting
- evtx
- windows-security
- mitre-attack
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
- ocr
- text-detection
😎 face releated algorithm, dataset and paper
- face
- face-detection
- face-recognition
- papers
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
- computer-vision
- visible-infrared
- low-light-image
- image-fusion
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
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
cell detection in calcium imaging recordings
- imaging
- neuroscience
- data-analysis
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
- deep-learning
- agriculture
- pytorch
- dataset
Tidy anomaly detection
- detect-anomalies
- decomposition
- iqr
- time-series
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
- cancer-genomics
- cnv-detection
- single-cell
- phylogeny
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
- analytics
- feature-store
- fraud-detection
- python
Detecting cancers on mobile phones
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
- asl
- keras
- tensroflow
- tflite
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.