Search Results for "algorithm" - Page 28
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Showing 2943 open source projects for "algorithm"
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pyfolio
Portfolio and risk analytics in Python
...It works well with the Zipline open source backtesting library. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm. Here's an example of a simple tear sheet analyzing a strategy. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. -
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easy12306
Automatic recognition of 12306 verification code
Automatic recognition of 12306 verification code using machine learning algorithm. Identify never-before-seen pictures. -
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CUDASW++: Smith-Waterman Algorithm
The fastest Smith-Waterman protein database search algorithm on GPUs
CUDASW++ software is a public open source software for Smith-Waterman protein database searches on Graphics Processing Units with CUDA. This software have been added to the NVIDIA Tesla Bio Workbench (http://www.nvidia.com/object/swplusplus_on_tesla.html -
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OIS Matching
Provides support for deduplicating patient data
Implements patient matching for immunization registries. Uses a weighted pre-defined decision network that is tuned using a genetic algorithm. -
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MORPHEUS for Fiji
A tool for unbiased and reproducible cell morphometry in Fiji/ImageJ2
...Specifically, MORPHEUS works with sampling distributions to learn—in an unsupervised manner and by a non-parametric approach—how to recognize the cells suitable for subsequent analysis. Afterwards, the algorithm performs the evaluation of the most relevant cell-shape descriptors over the full set of detected cells. Optionally, also the extraction of nucleus features and a double-scale analysis of orientation can be performed. The whole algorithm is implemented as a one-click procedure, thus minimizing the user intervention and the ensuing biases and errors of human origin. ... -
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Objective Function Analysis
An alternative to neural nets for machine learning.
Objective Function Analysis models knowledge as a multi-dimensional probability density function (MD-PDF) of the perceptions and responses (which are themselves perceptions) of an entity and an objective function (OF). The learning algorithm is the action of choosing a response, given the perceptions, which maximizes the objective function. The MD-PDF is initially seeded by a uniform random number generator. The response is used to evaluate the OF and the OF is either reinforced or diminished in the probability subspace formed by the perceptions and responses. Stated another way, in response to its perceptions, an entity evaluates every possible value of the OF in the subspace defined by the n perceptions and m responses and chooses the response which maximizes the OF. ... -
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This is a recursive C++ source code of the Fast Fourier Transform algorithm allowing parallelization. Also a performance test and its results on my computer are provided. The Performance test suggest to use 4 threads for parallelization. With this one can beat the implementation in "Numerical Recipes in C++" for large signals with more than 2^16 / 2^17 / 2^18 samples depending on the hardware and software.
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spark-ml-source-analysis
Spark ml algorithm principle analysis and specific source code
...The project aims to help developers and data scientists understand how distributed machine learning algorithms are implemented and optimized inside the Spark ecosystem. Instead of providing a runnable software system, the repository focuses on explaining algorithm principles and examining the underlying source code used in Spark’s machine learning package. The repository contains detailed analyses of various algorithms including classification, regression, clustering, dimensionality reduction, and recommendation systems. Each section discusses both the mathematical principles behind the algorithms and how Spark implements them in a distributed computing environment. ... -
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PythonRobotics
Python sample codes and textbook for robotics algorithms
PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks. It keeps dependencies minimal so learners can focus on the math, implementation, and behavior of each robotics method.... -
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mssolver
Automatic solver of a minesweeper game
This is an automatic algorithm, which solves a minesweeper game field -
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Simulates 32bit singleCode CPU implementation of up to 5 algorithms capable of showing a table in a review of the calculations of a particular algorithm processed and a table which indicates in general.
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SafeBox
Truly anonymous and secure file sharing
...Strong cryptography Proven standards of cryptography (PGP, RSA 2048). There is not a single case of hacking data encrypted with PGP using full brute force or cryptographic algorithm vulnerability. Files are not stored in the cloud as soon as the recipient receives the file, it is instantly removed from the cloud. Thus, it is impossible to get files to anyone other than the addressee. Convenient application Minimalistic application with an intuitive interface. File sharing has never been easier! -
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Xoptfoil
Airfoil optimization with Xfoil
Airfoil optimization using the highly-regarded Xfoil engine for aerodynamic calculations. Starting with a seed airfoil, Xoptfoil uses particle swarm, genetic algorithm and direct search methodologies to perturb the geometry and maximize performance. The user selects a number of operating points over which to optimize, desired constraints, and the optimizer does the rest. -
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OpenDino
Open Source Java platform for Optimization, DoE, and Learning.
...It provides a graphical user interface (GUI) and a platform which simplifies integration of new algorithms as "Modules". Implemented Modules Evolutionary Algorithms: - CMA-ES - (1+1)-ES - Differential Evolution Deterministic optimization algorithm: - SIMPLEX Learning: - a simple Artificial Neural Net Optimization problems: - test functions - interface for executing other programs (solvers) - parallel execution of problems - distributed execution of problems via socket connection between computers Others: - data storage - data analyser and viewer -
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TextRank
TextRank implementation for Python 3
TextRank is an implementation of the TextRank algorithm for extractive text summarization and keyword extraction, inspired by Google’s PageRank. -
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DetectAndTrack
The implementation of an algorithm presented in the CVPR18 paper
DetectAndTrack is the reference implementation for the CVPR 2018 paper “Detect-and-Track: Efficient Pose Estimation in Videos,” focusing on human keypoint detection and tracking across video frames. The system combines per-frame pose detection with a tracking mechanism to maintain identities over time, enabling efficient multi-person pose estimation in video. Code and instructions are organized to replicate paper results and to serve as a starting point for researchers working on pose in... -
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DACO-algorithm
A novel transcription factor complex prediction algorithm.
...Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines protein-protein interaction networks and domain-domain interaction networks with the cluster-quality metric cohesiveness. The metric is locally maximized on the holistic level of protein interactions while sophisticated connectivity constraints on the domain level are utilized to account for the exclusive and thus inherently combinatorial nature of the interactions within such assemblies. ... -
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DeepTraffic
DeepTraffic is a deep reinforcement learning competition
DeepTraffic is a deep reinforcement learning simulation designed to teach and evaluate autonomous driving algorithms in a dense highway environment. The system presents a simulated multi-lane highway where an AI-controlled vehicle must navigate traffic while maximizing speed and avoiding collisions. Participants design neural network policies that determine the vehicle’s actions, such as accelerating, decelerating, changing lanes, or maintaining speed. The project was created as part of an... -
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Play-With-Sort-OC
Repository implemented in Objective-C with sorting algorithms
...By making the code accessible, it lowers the barrier to exploring algorithm performance, variant comparisons, and understanding underlying complexity. For learners, it offers a bridge between abstract algorithm descriptions in textbooks and real code you can compile, run, tweak, and visualize. -
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egg-token
Egg.js middleware that uses encrypted token to authenticate
Egg.js middleware that uses encrypted token to authenticate. -
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Bucket Fill Algorithm
Simple Bucket Fill Demo
This is Simple java implementation of bucket fill algorithm .Copy the code and Run in Console or IDE. Draw your shapes and click in the middle to fill the shapes. Precombiled jar for Windows OS https://sourceforge.net/projects/bucket-fill/files/G_BucketFill.jar/download -
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Gutmann Algorithm Secure File Deletion
Using Gutmann method for securely deleting files in Windows.
Gutmann method uses 35 passes over the region to be deleted, 8 of them are Pseudo-random. Considered by some to be highly effective for preventing file recovery. Requires .NET Framework 4.0 --- Systems & Safety Establishment https://sarab.me Source Code available in c# with comments. Reference: http://www.cs.auckland.ac.nz/~pgut001/pubs/secure_del.html -
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Python Data Science Tutorials
Common data analysis and machine learning tasks using python
Python Data Science Tutorials is a curated learning repository for common data analysis, machine learning, and natural language processing tasks in Python. It combines external tutorials, courses, reference guides, notebooks, articles, and selected code examples. The collection begins with Python fundamentals and then moves into scientific computing, statistics, NumPy, pandas, data exploration, and visualization. Its machine learning sections cover practical algorithms and libraries,... -
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FESolver
tiny finite elements solver based on triangles elements
Project contains: * delaunay - grid builder based on 2D-Delaunay algorithm (build triangles surface layer) * SLAU solver based on Gauss algorithm * solver - SDI application for evaluation T for nodes 3-angles 2D grid -
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Evolution Strategies Starter
Code for the paper "Evolution Strategies.."
evolution-strategies-starter is an archived OpenAI research project that provides a distributed implementation of the algorithm described in the paper “Evolution Strategies as a Scalable Alternative to Reinforcement Learning” by Tim Salimans, Jonathan Ho, Xi Chen, and Ilya Sutskever. The repository demonstrates how to scale Evolution Strategies (ES) for reinforcement learning tasks using a master-worker architecture, where the master node broadcasts parameters to multiple workers, and the workers return performance results after evaluation. ...
