:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
- algorithm
- data-structure
- visualization
- animation
Repository Index
47,133 repositories indexed
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Turns Data and AI algorithms into production-ready web applications in no time.
Uplift modeling and causal inference with machine learning algorithms
- incubation
- machine-learning
- causal-inference
- uplift-modeling
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Create word clouds in JavaScript.
- wordcloud
- d3
- layout-algorithm
Graph drawing library for JavaScript
- graph-drawing
- layout-algorithm
- visualization
- ngraph
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
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
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
- visualization
- python3
- python
- xgboost
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Layout algorithms for visualizing directed acyclic graphs
- d3
- graph
- typescript
- dag
A curated list of awesome links and software libraries that are useful for robots.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
- matrix
- linear-algebra
- ndarray
- statistical-functions
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
- apache-spark
- big-data
- connected-components
- dataframe
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
😎 face releated algorithm, dataset and paper
- face
- face-detection
- face-recognition
- papers
Use evolutionary algorithms instead of gridsearch in scikit-learn
Environment for reinforcement-learning algorithmic trading models
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.