Skip to content

kartikmadhira1/100DaysOfCode

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

57 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Warmup

LinkedList

  1. LinkedList duplicates removal

  2. Remove Nth Node From End of List | Code

  3. Reverse Linked List | Code

Stacks

  1. Min stack CTCI Q.32 Code | Code

Trees

  1. Minimal depth | Code
  2. Balanced Binary Tree | Code

Leetcode

  1. Letter Combinations of a Phone Number | Code | Must Code

  2. Add two non-empty linked lists representing two non-negative integers | Code

  3. Longest Substring Without Repeating Characters | Code | Must Code

  4. Reverse Integer | Code

  5. Number of Islands | Code | Must Code

  6. Greatest Sum Divisible by Three | Code

  7. Integer to Roman | Code

  8. Maximum Subarray | Code

  9. Maximum Product of Three Numbers | Code

  10. Maximum Product Subarray | Code

  11. Merge sorted linked lists | Code | Must Code

  12. Rotate square matrix by 90 | Code

  13. Unique Paths | Code

Computer Vision

These are a collection of algorithms/problems likely to be asked in Computer Vision based coding interviews, partly taken from this subreddit

  1. Apply a Box filter over an image, given an Image class | Code

  2. Harris corner detector, given an Image class | Code

  3. [Given stride and kernel sizes for each layer of a (1-dimensional) CNN, create a function to compute the receptive field of a particular node in the network. This is just finding how many input nodes actually connect through to a neuron in a CNN.] | Code

  4. Implement connected components on an image/matrix | Code

  5. How would you implement a sparse matrix class in C++? Implement a sparse matrix class in C++ | Code

  6. Create a function to compute an integral image, and create another function to get area sums from the integral image | Code

  7. Implement SQRT(const double & x) without using any special functions, just fundamental arithmetic. | Code

  8. [Given n correspondences between n images taken from cameras with approximately known poses, find the position of the corresponding 3D feature point.] | Code

  9. [How do you rotate an image 90 degrees most efficiently if you don't know anything about the cache of the system you're working on?] | Code

  10. How do you most precisely and reliably find the pose of an object (of a known class) in a monocular RGB image? | Code

  11. Implement voronoi clustering. | Code

  12. How do you create concurrent programs that operate on the same data without the use of locks | Code

  13. How do you average two integers without overflow? | Code

  14. How does loop closure work?" Followup: In a SLAM context, for do you make loop closure work even with very large baselines?

  15. Implement non maximal suppression as efficiently as you can | Code

  16. Code up a gradient descent | Code

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published