Name: Aakash Rajpal
Type: User
Company: K|Lens
Bio: Currently a Master's student at University of Saarland focusing my research in the field of Deep Neural Nets and Probabilistic Machine Learning Approaches.
Location: Saarland,Germany
Blog: https://www.linkedin.com/in/aakash-rajpal/
Aakash Rajpal's Projects
A small project to create a Model to detect advarsarial images of MNIST Dataset created using FGSM,DEEPFOOL whitebox attacks . The Model uses a Conditional Variational Autoencoder
Repository for chef training
Developed an end-to-end automatic speech recognition (ASR) pipeline Machine Translation System which takes user voice as input and converts the input into a an english Sentence of 2 primary Machine Learning Models using Keras Framework
Dense Prediction Transformers
A website for final work submission for Google Summer of Code 2016 under Python Software Foundation
This Repository consists of all the Projects and assignments undergone as part of High Level Computer Vision Course undertaken at Saarland Informatic Campus, University of Saarland.
Google Summer of Code 2016 under Italian Mars Society(IMS)
A Machine Translation System to compare 3 different types of NLP architecture. 1. Embedding 2. Bidirectional 3. Encoder Decoder Model 4. FInal Model with all elements.
Modified Google's Manequin Challenge for Stereo View Depth Estimation for KLens Video
A repository to show some basic techniques of NLP to help big large neural networks . This includes techniques such as attention, basic RNN.
A Part of speech Tagger for corpus text using an HMM with Viterbi Algorithm
Probablistic Machine Learning course projects related to topic Modelling using LDA, Variational Inference and Autoencoders
Scraped 'http://courtnic.nic.in/supremecourt/casestatus_new/caseno_new.asp'
Windows App HAckathon
A python script to scrape Medindia
Python Scripts for scraping data for Sansad Android Application
A Sentiment Analysis Model based comparing two different NLP Techniques. Dataset - IMDB Movie Reviews
Magnificent app which corrects your previous console command.
Cotains a IPython Notebook with the working model of Topic Modelling using latent dirichlet allocation for my Udacity Course Project