Java Statistical Analysis Tool, a Java library for Machine Learning
- machine-learning
- java
- machine-learning-library
- machine-learning-algorithms
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Java Statistical Analysis Tool, a Java library for Machine Learning
Header-Only C++ Library for Graph Representation and Algorithms
captcha break based on opencv2, tesseract-ocr and some machine learning algorithm.
A Modern C++ Data Sciences Toolkit
A curated list of Monte Carlo tree search papers with implementations.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Environment for reinforcement-learning algorithmic trading models
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
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.
oneAPI Data Analytics Library (oneDAL)
🎯 A comprehensive gradient-free optimization framework written in Python
Language model search engine built on a vector database and an anything key/value store.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A curated compilation of AI-driven generative music resources and projects. Explore the blend of machine learning algorithms and musical creativity.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
Implementation of "A Neural Algorithm of Artistic Style" by Tensorflow
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.
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.
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Python-based implementations of algorithms for learning on imbalanced data.
A fast xgboost feature selection algorithm