Discover PRAN20/Support-Vector-Machine Open Source project

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PRAN20

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Radix-Sort

Java

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.

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Portfolio

HTML

Prims-Algorithm

PRAN20

Config files for my GitHub profile.

Binary_Heaps

C++

Collage-Builder

It creates collage of the Dataset you provide.

Among-us

SEBI-CPU-DESIGN

PlytoObject

This Program converts the .PLY files to .OBJ files.

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Drunk_Alcoholic

C++

Fingerprint-Recognition-Infant

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3D-Models-Clothes

3D Models of Shirts-Tshirts

Kruskal-Tree

time_conversion

Python

Maximise-The-Bridges

Python

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 openCv

Jupyter Notebook

Tic-Tac-Toe

It is a code Generated in C++ Lang.

C++

Hill-Sequence

C++

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.

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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.

C++

Knapsack-Algorithm

Java

Principle-Component-Analaysis

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Link-List-CP

17-Feb-Programming

C++

Array-CP

C++

Histogram-Intensity-Trans

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Spatial-Filtering-PIL

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Full-Body-Segmentation

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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.

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PIL-Image-Manipulation

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AlexNet

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Random_Forest_Regression

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Upper-Confidence-Bound

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Digit-Recognizer-Kaggle

ANN MODEL | MNIST

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Geometric-Transform-CV

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Linear_Discriminant_Analysis

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Spatial-Filtering-CV

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Natural-Language-Processing

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Texture-Plotting-with-Plotly

Crop-Align-Faces

Christmas_Website

Timetable-Cognizent

various_sort

Equal-Coin

C++

Kernel-PCA

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Naive-Bayes

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Style-Transfer-Vgg19

Style Transfer using Vgg19 and Pytorch

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Image-Scrapper-Python

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Insertion-Sort

Java

Reinforcement-Learning

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hartal_problem

C++

Hash-Map

C++

-Car-Price-Prediction

Which_fuel_is_better

C++

Gangster_Dawood_problems

C++

Yolov5-Object-Detection-Model

Object Detection Model using Yolo-v5

Jupyter Notebook

Covulation-Neural-Networking

Multiple_Regression

All-Classification

File-To-Zip

Weird-Palindrome-Making-

Python

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.%

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Cv-vs-Pil

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Breast-Cancer-Detection

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Background-Remover-Cv

Tool that can be used to remove background from a image.

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Random-Forest-Classification

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Extreme-Learning-Machine

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Crop-Face-Reading

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Crop-Faces-Detection

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Association-Rule-Learning

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CV-Image-Proc

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ML-Data-Processing-

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CV-Image-Manipulation

ml_through_cam

Draw-in-air

Footer

Pillow-Image-Proc

All-Regression-Models

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ROC-Graph

ROC curve for any dataset, with 8 classification Algorithm in One.

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Linear-Regression

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Support-Vector-Regression

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NLP-Disaster

NLP Model which detect Disasters from Tweets

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Geometric-Transform-PIL

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Spam_Classifier

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Recursive_decent_parsing

StyleGan2

StyleGan2 model generated and trained with the help of GUP's.

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Data-Analaysis-ML

Data-Analaysis of a database downloaded from Kagle

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Project

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Face-Detection-Drive-

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100

Object-Detection-System

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PRAN20/Support-Vector-Machine

PRAN20

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