Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
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Quantum Computer Library for Everyone
- quantum
- python
- quantum-computing
- quantum-algorithms
Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort.
A Generic Priority Queue in Pure Swift
- data-structure
- swift
- priority-queue
- astar-algorithm
ID hashing and Obfuscation using Knuth's Algorithm
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
- btc
- lstm
- rnn
- bitcoin
Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.
- swift
- swift-brain
- neural-network
A robust sensor fusion library for online localization.
- sensorfusion
- estimation-algorithm
- gnss
- ranging
Unicode Algorithms Implementation for C/C++
- unicode
- utf-16
- utf-8
- utf16
Python's missing "algorave" module. Live code music with Python using MIDI, OSC and/or SuperCollider.
- algorave
- algorithmic-music
- audio
- improvisation
Following googlecode project crypto-js, provide standard and secure cryptographic algorithms for NodeJS. Support MD5, SHA-1, SHA-256, RC4, Rabbit, AES, DES, PBKDF2, HMAC, OFB, CFB, CTR, CBC, Base64
A C++ implementation of timsort
- sort
- c-plus-plus
- sorting
- algorithm
Java library for the HyperLogLog algorithm
Genetic Algorithm for solving optimization of trading strategies using Gekko
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Genesis Miner 2026: Full working installer with optimized mining algorithms for enhanced performance.
- automation
- bitcoin-mining-tools
- cpu-mining
- cpumining
A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.
:sweat_drops::metal: A mimetic poly-alloy of the Quicksilver scoring algorithm, essentially LiquidMetal. </Schwarzenegger Voice>
- fuzzy-matching
- fuzzy-search
- javascript
Very fast, high-quality hash function, discrete-incremental and streamed hashing-capable (non-cryptographic, header-only C/C++) 27GB/s + PRNG
Cryptographic library for Embarcadero Delphi and potentially for FPC as well
- delphi
- key-deviation-algorithms
- cryptographic-checksums
- kdf1
A hyperparameter optimization framework, inspired by Optuna.
- bayesian-optimization
- bandit-algorithms
- evolution-strategies
- blackbox-optimization
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
Simple and secure hashing in Swift with the SipHash algorithm
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.
- machine-learning
- python
- evolutionary-algorithms
- genetic-algorithm