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Name: Amogha A H
Type: User
Bio: 3rd Year CSE undergraduate @ IIIT Hyderabad
Location: Hyderabad
Name: Amogha A H
Type: User
Bio: 3rd Year CSE undergraduate @ IIIT Hyderabad
Location: Hyderabad
A fully-functional CLI-based database management system built using Python and MySQL.
Implementation of Back Propagation algorithm along with its variants such as RProp and QuickProp.
A 3D car racing game built using ThreeJS and WebGL
Extended the code base of a terminal game in Python.
Created an analytical model for health of a cohort based on latest data using Cube.dev
Pytorch implementation of the paper Data2Vis using Encoder-Decoder architecture with attention mechanism.
Implemented Deep Convolutional GAN and Diffusion Model architecture using Pytorch and compared the results of these models on CIFAR-10 dataset using the inception score.
All the assignments of the course - Data Structures and Algorithms.
Standard Implementation of the data structures and algorithms.
Tweaked the existing xv6 by adding system calls, three other scheduling policies, namely FCFS, PBS, MLFQ, and copy on write fork.
Implementation of two major ensemble learning methodologies, Bagging and Stacking, over the tasks of classification and regression. Also, compared the results of Random Forests with multiple Boosting Techniques.
A online social media application built using MERN stack.
A 2D game similar to Jetpack Joyride built in C++ using OpenGL
Implementation kernel density estimation (KDE) from scratch and used it to solve the bounding box problem. Also, applied hidden markov models (HMM) in the given two problems.
Implemented bias-variance trade-off and linear regression in Jupyter notebook
A user-defined Unix-based interactive shell program in C which supports all the shell commands
Implemented the Principal Component Analysis (PCA) & performed dimensionality reduction. Implemented Hierarchical clustering EM algorithm for GMM and performed the clustering operations.
Implementation of perceptron algorithm for both classification and regression tasks. Trained a CNN model on the MNIST dataset and also implemented the autoencoder to denoise the noisy MNIST dataset.
Implementation of RNN (Recurrent Neural Network) for Auto Regressive Models and learning the long term dependencies using LSTM (Long short-term Memory).
A safety device which detects the fall of industrial worker from chimneys
A smart IoT device which detects human movement in its environment
Implemented separate classes for the supervised machine learning algorithms, k Nearest Neighbours algorithm and Decision Tree algorithm.
Pytorch implementation of Transformers model from scratch. Also, implemented Denoising Autoencoder to remove noise from an MNIST image.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.