All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Related tags

Deep Learningpythonalgorithmresourcespython3data-structurescomplexityoopsminiprojectsalgorithms-and-data-structures
Overview

Data Structures and Algorithms Python

INDEX

1. Resources -

  1. Books
    • Data Structures - Reema Thareja
    • competitiveCoding
  2. Big-O Cheat Sheet
  3. DAA Syllabus
  4. Interview Cheat sheet
  5. Master Plan
  6. Master the Interview

2. Big-O -

  1. O(1)
  2. O(m+n)
  3. O(n)
  4. O(n^2)

3. Data Structures -

  1. Arrays
  2. Graphs
  3. Hashtables (dictionary)
  4. Linked Lists
  5. Stack
  6. Queues
  7. Trees

4. Algorithms -

  1. Dynamic Programming
  2. Recursion
  3. Sorting
    • Bubble Sort
    • Heap Sort
    • Insertion Sort
    • Quick Sort
    • Selection Sort
  4. Traversals
    • BFS
    • DFS
    • Bisection Search

5. File Handling and OOPS

  1. File + Classes Demo

6. Projects

  1. Job Scheduler
  2. Email Project
  3. Hash Project
  4. Recursion Miniprojects
  5. Runtime Analyser
Owner
Shushrut Kumar
20 | Computer Science Engineering student at SRMIST Chennai
Shushrut Kumar
GitHub Repository
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

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Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

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S-attack library. Official implementation of two papers "Are socially-aware trajectory prediction models really socially-aware?" and "Vehicle trajectory prediction works, but not everywhere".

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Unofficial implement with paper SpeakerGAN: Speaker identification with conditional generative adversarial network

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Try out deep learning models online on Google Colab

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Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design

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The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021

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GANTheftAuto is a fork of the Nvidia's GameGAN

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Distributional Sliced-Wasserstein distance code

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Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer.

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Adversarial Reweighting for Partial Domain Adaptation

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Implementation of a Transformer using ReLA (Rectified Linear Attention)

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GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

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[CVPR 2022] Deep Equilibrium Optical Flow Estimation

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