theunnecessarythings

Artificial-Intelligencee

BlendRef

BlendRef | A simple reference viewer addon for Blender

celeba

chatgpt-custom-intruction-chrome-extension

A chrome extension to switch between custom instructions in ChatGPT

consistency-models

Unofficial Implementation of Consistency Models in Pytorch

Highlight

Blender Addon for Creating Syntax Highlighting and Materials for Text Objects. (Supports 430+ languages)

Prosper

Module-1: Insertion sort and its variants: This module implements Insertion-Sort-Iterative(), Insertion-Sort-Recursive(), Binary-Search-based-Insertion-Sort(), Counting-Inversions(). Insertion-Sort-Iterative() : Implement insertion sort using iterative method. Insertion-Sort-Recursive(): Implement recursive version of insertion sort. Binary-Search-based-Insertion-Sort(): During i to look for the correct position for the i to locate the position for i Counting-Inversions(). For an array A of distinct integers, an inversion is a pair (i, j) such that i < j and A[i] > A[j]. Implement a routine that will count the number of inversions in an array. Module-2: Quick sort and its variants: This module implements Quick-Sort(), Quick- Sort-Pivot-Middle(), Quick-Sort-Pivot-First(), Quick-Sort-Pivot-Random() Quick-Sort() : Implement classical quick sort (the one discussed in class) Quick-Sort-Pivot-Middle(): Implement Classical quick sort by taking pivot as the middle element always Quick-Sort-Pivot-First(): Implement Classical quick sort by taking pivot as the first element always Quick-Sort-Pivot-Random(): Implement Classical quick sort by choosing a random element as the pivot Module-3: Hybrid Sorting and Searching: This module implements Quick-Insertion-Sort(), Variant-Linear-Search() Quick-Insertion-Sort(): Perform classical quick sort till the problem size reduces to 20. For the problem size 20, return the array as it is without performing partion(). Now, perform classical insertion sort on the entire array. i.e., recursion bottoms out when the input size becomes 20, no work is done on the 20-size array, further insertion sort is performed on the entire array. Merge-Insertion-Sort(): Perform classical merge sort till the problem size reduces to 20. For the problem size 20, we perform insertion sort. Recursion bottoms out when the input size is 20. Due to insertion sort, each leaf is sorted (sub array size:20), further merge routine performs the desired task to output the sorted array. Variant-Linear-Search(): Perform linear search from both ends of the array alternately. i.e., Compare (x, A[1]),(x, A[n]),(x, A[2]),(x, A[n − 1])... Module-4: Applications: This module implements some of the programming questions asked in coding interviews, programming contests that are based on divide and conquer paradigm, in- cremental design. th iteration, insertion sort performs linear search th element. Employ binary search instead of linear search th element. 1 Towers of Hanoi(): Implement a recursive algorithm for Towers of Hanoi L− shaped triomino(): Placing L−shaped triomino in a chess board with one square removed. Recall that in discrete mathematics course, we have shown an existential proof that such a placing is possible. Here, we present a construction, i.e., an algorithm that will exhibit one such placement. Ladder-climbing(): A monkey is asked to climb a ladder of n-steps. At each step it takes at most two steps (either one step or two steps). In how many different ways can the monkey climb up the ladder. Write a program that will count and also print all possible solutions. Circus(): A circus is designing a tower routine consisting of people standing atop one another’s shoulders. For practical and aesthetic reasons, each person must be both shorter and lighter than the person below him. Given the heights and weights of each person in the circus, write a method to compute the largest possible number of people in such a tower. For ex: input; (65, 100),(70, 100),(56, 90),(75, 190),(60, 95),(68, 110), output; (56, 90),(60, 95),(65, 100),(68, 110),(70, 150),(75, 190) Module-5: Performance Analysis: This module compares the performance of classical algo- rithms and the variants proposed in the above modules. input-generation() : Generate 100 random inputs each of size 20,40,60,80,100. Plot-Insertion-sort(): Compare the performance of Insertion-Sort-Iterative(), Insertion-Sort-Recursive(), Binary-Search-based-Insertion-Sort(), Counting-Inversions(). Plot-Quick-Sort(): Quick-Sort(), Quick-Sort-Pivot-Middle(), Quick-Sort-Pivot-First(), Quick-Sort- Pivot-Random() Plot-Hybrid-sort(): plot Insertion-Sort-Iterative(), Quick-Sort(), Quick-Insertion-Sort(), Merge- Insertion-Sort(). Plot-Variant-Linear(): plot Variant-Linear-Search() and Linear-Search()

SDFEngine

torch-zig

VoxelDraw

Voxel Drawing Addon for Blender

theunnecessarythings/SDFEngine

theunnecessarythings/Highlight

Blender Addon for Creating Syntax Highlighting and Materials for Text Objects. (Supports 430+ languages)

theunnecessarythings/consistency-models

Unofficial Implementation of Consistency Models in Pytorch

theunnecessarythings/BlendRef

BlendRef | A simple reference viewer addon for Blender

theunnecessarythings/torch-zig

theunnecessarythings/VoxelDraw

Voxel Drawing Addon for Blender

theunnecessarythings/celeba

theunnecessarythings/chatgpt-custom-intruction-chrome-extension

A chrome extension to switch between custom instructions in ChatGPT

theunnecessarythings/clrs

theunnecessarythings/coderepo

Code Repository

theunnecessarythings/compiler-zig

A compiler for a statically typed, compiled general purpose low level programming language written using Zig and LLVM. (Compiler implentation of Amun Lang)

theunnecessarythings/edm-flax

theunnecessarythings/fictional-octo-adventure

theunnecessarythings/flaxvision

Vision Models for Flax

theunnecessarythings/fluffy-fiesta

theunnecessarythings/geometry_nodes

theunnecessarythings/Graphics-OpenGL_Projects

OpenGL Graphics Projects

theunnecessarythings/ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

theunnecessarythings/ijepa_f

theunnecessarythings/in-60-seconds

GitPitch In 60 Seconds - A Very Short Tutorial

theunnecessarythings/llama.cpp

theunnecessarythings/micrograd-zig

theunnecessarythings/personal-jekyll-theme

:bowtie: { Personal } Jekyll theme

theunnecessarythings/POV

theunnecessarythings/ShopCarro

Your Little Shop

theunnecessarythings/Sketch3D

A Blender Addon for Mesh Sketching

theunnecessarythings/sreerajr000.github.io

theunnecessarythings/tch-models

theunnecessarythings/template

Boilerplate code for neural network training

theunnecessarythings/twod-physics

TwoD Physics Blender 2D Physics Addon