Ristretto: Caffe-based approximation of convolutional neural networks.

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)

DynaHist: A Dynamic Histogram Library for Java

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

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

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)

Graphically solve a texture packing problem with three approximate algorithms

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.

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.

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 Python library for anti-clustering algorithms

Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems

Quadrature Fourier Features

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).

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

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