This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
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Updated
Sep 20, 2023 - Python
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
DSA placements preparation guide. Includes DSA Python codes.
A solver to find a solution of the 2D rectangle packing problem by simulated annealing (SA) optimization.
Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).
CDC noticeboard scraper
Joint placement and scaling of bidirectional network services with stateful virtual or physical network functions
This project simulates deployment and migration of Service Function Chains (SFC) in data-centers.
These are the implementations of two service placement algorithms for fog computing in python 2.7. One is an ILP-based algorithm and the second one is based on the use of complex networks and graph partitions.
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
Distributed Online Service Coordination Using Deep Reinforcement Learning
Reinforcement learning assisted analog layout design flow.
Genetic algorithms for the placement of services in Fog domains
genetic algorithm usage for routing optimization ( pyqt )
Phylogenetic Placement Evaluation Workflows : Benchmark placement software and different reference trees
Spatial Interpolation in Python
NIET CODETANTRA PLACEMENT PYTHON
Partition and Configuration Manager for SpiNNaker
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