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Radix-Sort
VQ-GAN
VQGAN and CLIP are actually two separate machine learning algorithms that can be used together to generate images based on a text prompt. VQGAN is a generative adversarial neural network that is good at generating images that look similar to others (but not from a prompt), and CLIP is another neural network that is able to determine how well a caption (or prompt) matches an image.Portfolio
Prims-Algorithm
PRAN20
Config files for my GitHub profile.Binary_Heaps
Collage-Builder
It creates collage of the Dataset you provide.Among-us
Play With TurtleSEBI-CPU-DESIGN
PlytoObject
This Program converts the .PLY files to .OBJ files.Drunk_Alcoholic
Fingerprint-Recognition-Infant
3D-Models-Clothes
3D Models of Shirts-TshirtsKruskal-Tree
time_conversion
Maximise-The-Bridges
sql-hackerrank-problem
emoji_land
Cool_Name
Atm_Codechef
Fisher_Face
Alternate-Fibonacci
Beautiful-Garland
special_repo
Full-Body-Detection
Full body Detection using MediaPipe and openCvTic-Tac-Toe
It is a code Generated in C++ Lang.Hill-Sequence
K-Mean_Cluster
K-means clustering is a method used for clustering analysis, especially in data mining and statistics. It aims to partition a set of observations into a number of clusters (k), resulting in the partitioning of the data into Voronoi cells. It can be considered a method of finding out which group a certain object really belongs to.Merge-Sort
The merge() function is used for merging two halves. The merge(arr, l, m, r) is a key process that assumes that arr[l..m] and arr[m+1..r] are sorted and merges the two sorted sub-arrays into one. See the following C implementation for details.Knapsack-Algorithm
Principle-Component-Analaysis
Link-List-CP
17-Feb-Programming
Array-CP
Histogram-Intensity-Trans
Spatial-Filtering-PIL
Full-Body-Segmentation
geek-level_order
Artificial-Neural-Networking
Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems inspired by the biological neural networks that constitute animal brains.AlexNet
PIL-Image-Manipulation
Random_Forest_Regression
Upper-Confidence-Bound
Digit-Recognizer-Kaggle
ANN MODEL | MNISTGeometric-Transform-CV
Linear_Discriminant_Analysis
Spatial-Filtering-CV
Natural-Language-Processing
Texture-Plotting-with-Plotly
Crop-Align-Faces
Christmas_Website
Timetable-Cognizent
various_sort
Equal-Coin
Kernel-PCA
Naive-Bayes
Style-Transfer-Vgg19
Style Transfer using Vgg19 and PytorchImage-Scrapper-Python
Insertion-Sort
Reinforcement-Learning
Hash-Map
-Car-Price-Prediction
Which_fuel_is_better
Gangster_Dawood_problems
Yolov5-Object-Detection-Model
Object Detection Model using Yolo-v5hartal_problem
Covulation-Neural-Networking
Multiple_Regression
All-Classification
File-To-Zip
Weird-Palindrome-Making-
Plant-Disease-Detection
A Model which can be used to detect Disease of different Variety of Plants. AlexNet Model is used for the same process. It has the test accuracy of 94.8.%Cv-vs-Pil
Breast-Cancer-Detection
Background-Remover-Cv
Tool that can be used to remove background from a image.Random-Forest-Classification
Extreme-Learning-Machine
Crop-Face-Reading
Crop-Faces-Detection
Association-Rule-Learning
CV-Image-Proc
NLP-Disaster
NLP Model which detect Disasters from TweetsML-Data-Processing-
CV-Image-Manipulation
ml_through_cam
Footer
Pillow-Image-Proc
All-Regression-Models
ROC-Graph
ROC curve for any dataset, with 8 classification Algorithm in One.Linear-Regression
Support-Vector-Regression
Geometric-Transform-PIL
Spam_Classifier
Recursive_decent_parsing
StyleGan2
StyleGan2 model generated and trained with the help of GUP's.Data-Analaysis-ML
Data-Analaysis of a database downloaded from KagleProject
Face-Detection-Drive-
Support-Vector-Machine
Object-Detection-System
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