Aksh's repositories
Tic-Tac-Toe.github.io
A simple tic tac toe application made using HTML , CSS , JS .
weatherapp.github.io
A website made using HTML CSS and JS , using JS for making API calls and represent the required information in a clean and concise manner
Image-Grabber
A button appears over every image on the web page and you can get the source target of the image from there.
Movie-Recommendation-
https://github.com/campusx-official/movie-recommender-system-tmdb-dataset
Audio-Classification-
This project classifies audio , using Deep Learning modelDeployed Model using Flask API Uses URBANSOUND8K Dataset
Text-Summerization-
Text Summaization is done using many to many sequence models . Data set Used in Amazon Fine Food Reviews I developed a Text Summarization model generating summary, from the provided reviews using LSTM model and Attention Mechanism . Deployed using Flask API
Auto-Coloring-of-Black-and-White-images
The model consists of 2 parts, the encoder and decoder. I employed the notion of transfer learning for the encoder section of the model and used the pretrained VGG19 model as the encoder. I experimented with the 'rmsprop' and 'adam' optimizers. Adam's convergence was better than rmsprop's. The model is deployed using the Streamlit API.
ImageCaptionGenerator
Image Caption Generation Using Deep Learning
Digit_recognizer_Kaggle
Competition Description MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike. In this competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. We’ve curated a set of tutorial-style kernels which cover everything from regression to neural networks. We encourage you to experiment with different algorithms to learn first-hand what works well and how techniques compare.
House-Prices-Advanced-Regression-Techniques_kaggleCompetiton
Predict sales prices and practice feature engineering, RFs, and gradient boosting
JPMC_virtual_internship_tasks-
Contains the task 2 , 3 for JPMC
InterviewBit
Collection of solution for problems on InterviewBit
KfoldCrossValidation_AccelaratedComputingCUDA
ML assignments
Web_Game
A simple Game made with JS, CSS, HTML , where we click the buttons in a sequence generated by the random function
Drum_Kit
DrumKit project made with html, css, javascript
DSAsheet
All important DSA questions i solved