1,600 skills found · Page 5 of 54
raphael-group / THetATumor Heterogeneity Analysis (THetA) and THetA2 are algorithms that estimate the tumor purity and clonal/subclonal copy number aberrations directly from high-throughput DNA sequencing data. This repository includes the updated algorithm, called THetA2.
prabhakarlab / Banksy PyBANKSY: Spatial Clustering Algorithm that Unifies Cell-Typing and Tissue Domain Segmentation. Python package for spatial transcriptomics analysis.
Acovea / LibacoveaACOVEA (Analysis of Compiler Options via Evolutionary Algorithm) implements a genetic algorithm to find the "best" options for compiling programs with the GNU Compiler Collection (GCC) C and C++ compilers.
chenhui07c8 / Radio LocalizationChannel modeling, performance analysis, localization and optimization algorithm for 5G/6G (mmWave/THz) localization and sensing
korygill / Technical AnalysisRepository for technical analysis scripts, code, algorithms related to stocks, futures, options, and more. Follow me here and on twitter @korygill.
Xiaoyang-Rebecca / PatternRecognition MatlabFeature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
aleibovici / CryptopumpCryptoPump is a free, open source cryptocurrency trading tool that focuses on high speed and flexibility. The algorithms utilize Go Language and WebSockets to react in real-time to market movements based on Bollinger statistical analysis and pre-defined profit margins.
zhuli19901106 / Data Structures And Algorithm Analysis In CA good book by Mark Allen Weiss.
BangaloreSharks / SharkStockAutomate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement learning algorithm. We implement a sentiment analysis model using a recurrent convolutional neural network to predict the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.
lciti / CvxEDAAlgorithm for the analysis of electrodermal activity (EDA) using convex optimization
yhpong / Scientific ToolkitThis is a VBA library of basic algorithms commonly used in data analysis.
omerbsezer / SparkDeepMlpGADow30A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)
WxxShirley / LLMNodeBed[ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"
laserwave / Plsaa python implementation of probabilistic latent semantic analysis (plsa) using EM algorithm
cador / Python Predict Analysis Algorithm Book Codes《Python预测之美：数据分析与算法实战》书籍代码维护
multiverseweb / DataverseA versatile Open-Source Software (OSS) that allows organizing, analyzing and visualizing data, leveraging ML algorithms for predictive analysis. Supporting all data visualisation techniques on one platform, accessible on both desktop and mobile.
adhaamehab / Stanford Cs161Unofficial repo for Design and Analysis of Algorithms, Stanford University, Fall 2017.
lindahua / Regression.jlAlgorithms for regression analysis (e.g. linear regression and logistic regression)
LBL-EESA / TECATECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.
MaayanLab / BlitzgseaFast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for accurate p-value estimation.
