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.

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
Make differentially private training of transformers easy for everyone

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MIM: MIM Installs OpenMMLab Packages

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Improving Deep Network Debuggability via Sparse Decision Layers

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Improving Non-autoregressive Generation with Mixup Training

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A simple version for graphfpn

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[CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition

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Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

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Code for the paper "Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness"

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This is the official code release for the paper Shape and Material Capture at Home

This is the official code release for the paper Shape and Material Capture at Home. The code enables you to reconstruct a 3D mesh and Cook-Torrance BRDF from one or more images captured with a flashl

89 Dec 10, 2022
MGFN: Multi-Graph Fusion Networks for Urban Region Embedding was accepted by IJCAI-2022.

Multi-Graph Fusion Networks for Urban Region Embedding (IJCAI-22) This is the implementation of Multi-Graph Fusion Networks for Urban Region Embedding

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An open source implementation of CLIP.

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Pytorch implementation of the paper: "A Unified Framework for Separating Superimposed Images", in CVPR 2020.

Deep Adversarial Decomposition PDF | Supp | 1min-DemoVideo Pytorch implementation of the paper: "Deep Adversarial Decomposition: A Unified Framework f

Zhengxia Zou 72 Dec 18, 2022
Implementation for the EMNLP 2021 paper "Interactive Machine Comprehension with Dynamic Knowledge Graphs".

Interactive Machine Comprehension with Dynamic Knowledge Graphs Implementation for the EMNLP 2021 paper. Dependencies apt-get -y update apt-get instal

Xingdi (Eric) Yuan 19 Aug 23, 2022
Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

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ixaxaar 302 Dec 14, 2022
Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras

Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras which will then be used to generate residuals

Federico Lopez 2 Jan 14, 2022
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

Torch-RGCN Torch-RGCN is a PyTorch implementation of the RGCN, originally proposed by Schlichtkrull et al. in Modeling Relational Data with Graph Conv

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An 16kHz implementation of HiFi-GAN for soft-vc.

HiFi-GAN An 16kHz implementation of HiFi-GAN for soft-vc. Relevant links: Official HiFi-GAN repo HiFi-GAN paper Soft-VC repo Soft-VC paper Example Usa

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A highly efficient and modular implementation of Gaussian Processes in PyTorch

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