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Algorithm

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Algorithms are detailed sets of guidelines created for a computer program to complete tasks efficiently and thoroughly.

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TheAlgorithms / Python

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Add more solutions to Project Euler problems

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aceking007
aceking007 commented Oct 3, 2020

Project Euler has about 700 problems, but the current repository hosts solutions for only about 60-70 problems.
I'm willing to work on the issue and also if someone wants to help they can join in.
We can create guidelines on how many minimum solutions a PR should have to prevent spammy PRs with just one or two easy solutions. (open to discussion)

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good first issue hacktoberfest hacktoberfest-accepted help wanted

jayshah19949596 / CodingInterviews

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This repository contains coding interviews that I have encountered in company interviews

interviewing algorithm algorithms interview interviews interview-practice interview-questions algorithm-challenges coding-interviews coding-challenge interview-test coding-challenges interview-prep interview-preparation algorithms-datastructures google-interview algorithms-and-data-structures amazon-interview company-challenges company-interviews
  • Updated Oct 2, 2020
  • Python

100 / Solid

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🎯 A comprehensive gradient-free optimization framework written in Python

python machine-learning library algorithm optimization genetic-algorithm machine-learning-algorithms artificial-intelligence genetic-algorithm-framework simulated-annealing hill-climbing evolutionary-algorithm optimization-algorithms particle-swarm-optimization tabu-search stochastic-optimizers metaheuristics discrete-optimization harmony-search continuous-optimization
  • Updated Jul 19, 2019
  • Python

Qiskit / qiskit-aqua

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LinearEqualityToPenalty converter: accept list of penalty terms as input

5
HassanNaseri
HassanNaseri commented Sep 30, 2020

Requested Feature

LinearEqualityToPenalty converter only accepts a single scalar input as penalty factor. Better results can be usually obtained by applying higher penalty factors to broken constraints. This requires LinearEqualityToPenalty to accept a list of penalty terms as input, including separate penalty factor for each constraint. If user provides none or a single value for penalty, the

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Optimization good first issue type: enhancement
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TianhongDai / reinforcement-learning-algorithms

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This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

algorithm deep-learning atari2600 flappy-bird deep-reinforcement-learning pytorch dqn ddpg sac actor-critic trpo dueling-dqn trust-region-policy-optimization proximal-policy-optimization ppo a2c soft-actor-critic
  • Updated Nov 15, 2019
  • Python
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