A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

Na Rinha de Algoritmos você deve utilizar suas habilidades para a criação de algoritmos eficientes para resolver problemas!

This is my personal library of code that is common to my different projects (Photosounder, SplineEQ, Spiral and others)

A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays

DynaHist: A Dynamic Histogram Library for Java

Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.

Graphically solve a texture packing problem with three approximate algorithms

Set of simple mathematical classes in C# (Vectors, Matrixes, Polynoms, Systems of linear equations, Integrals methods, Complex numbers, Rational numbers, Graphs, Methods for solving differential equations) + some features such as memoize (function values memorising)

A simple, often-used multiprocessor scheduling (load balancing) algorithm is the LPT algorithm (Longest Processing Time) which sorts the jobs by its processing time and then assigns them to the machine with the earliest end time so far.

A Python library for anti-clustering algorithms

Real-time Interactive Barnes-Hut N-Body Simulator. Create galaxies, apply forces, visualize spatial partitioning, parameterize simulation physics and entities, etc.

Algorithms and functions for fast exponentiation with small error

Study about an algorithm for discovering small target sets in social networks This is a widely studied problem that abstracts many phenomena in the social, economic, biological, and physical sciences. It is known that this optimization problem is hard to approximate.

Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems

Quadrature Fourier Features

Approximation Algorithm for the NP-Complete problem of finding a vertex cover of minimum weight in a graph with weighted vertices. Guarantees an answers at most 2 times the optimal minimum weighted vertex cover

A C++ implementation of the Christofides algorithm for instances in TSPLIB format

State-of-art algorithm for sorting by transpositions based on an algebraic approach with guarantee of approximation ratio of 1.375

Solving TSP for Metric Graphs using MST Heuristic, and comparing the optimal solution with the approximation one

With this project we researched, implemented and analyzed different algorithms to effectively and efficiently solve an NP-Complete problem such as the Minimum Vertex Cover (MVC).

Multi-level Node weighted Steiner trees - implementation of heuristics to compute them

Memory-efficient probabilistic counter namely Morris Counter

Quasi-equilibrium analysis of ecosystem C, N and P interactions

Approximation Algorithm for the NP-Complete problem of balancing job loads on machines. Does not guarantee an optimal solution, but instead, a solution is within a factor of 1.5 of the optimal solution

This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.

The Hashed-Octree approach is developed as an improvement to the standard octree data structure made suitable for parallel processing. This variant of the octree data structure attempts to parallelize the hierarchical method through adaptive domain decomposition, dynamic load-balancing across processors, and parallel interaction computation.

Python implementation of an approximate Euclidean bipartite matching algorithm proposed by a 2004 paper "A Near-Linear Constant-Factor Approximation for Euclidean Bipartite Matching?" by Pankaj Agarwal and Kasturi Varadarajan.

Very small Julia package to find the best exponential approximation of a given number

"Algorithm Design" Course Material

Steinberg algorithm with two heuristics for Strip Packing Problem