Aditya Kumar Gupta's Projects
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
A basic implementation of AdaBoost algorithm from Scratch.
Happy Hacktober! :octocat: This is a beginner-friendly repository created specifically for Hacktoberfest to assist you in making your first PR.
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
Backend repo for algo phantom
Website of Algo Phantoms, an Open Source organization focusses on Data Structure and Algorithms.
Algo-Tree is a collection of Algorithms and data structures that are fundamentals to efficient code and good software design.
A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
A recurrent neural network method for determining the relationship between an essay and its grade. Using Long-Short Term Memory networks to represent the meaning of texts to demonstrate that a fully automated framework is able to achieve results.
A curated list of awesome Hacktoberfest 2020 repositories
A package that can calculate Gaussian as well as Binomial distributions.
This program takes input as height and weight and calculates the BMI data of a person.
Evaluating the performance and predictive power of a model. Cross questioned several concepts of ML for better understanding.
A basic program that performs edge detection of images in real-time.
Object Recognition in Images. This project uses CNN for the classification and recognition tasks.
Fashion-MNIST is a dataset of Zalando's article images, consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28, gray-scale image, associated with a label from 10 classes.
Open source programming algorithms
Python Code of Questions in Long Challenge
An application that provides color names and HTML/RGB mappings as output.
A curated list of Projects for beginners with proper implementations.
Analyzing a dataset containing data on various customers' annual spending amounts of diverse product categories for internal structure. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.
A basic project to implement and visualize Decision Tree Classifier from Scratch.
A computer vision program which uses a convolutional neural network to find and enhance patterns in images, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
DeepFaceLab is the leading software for creating deepfakes.
An open-source Python package for making computer vision and image processing simpler
Employing several supervised algorithms to accurately model individuals' income.
The dataset contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago’s Billings Hospital on the survival of patients who had undergone surgery for cancer.
Face Recognition Implementation using PCA, eigenfaces, and SVM
A package that can transform features by scaling each feature into a given range. This is more lightweight and easy to use than sklearn.preprocessing.MinMaxScaler
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent