Pinned Repositories
Analyzing_NY_Lottery
Datasets
I used some of these and some of these might come in handy for people who are just starting out in Data Science.
GAN-First-Program-Ever
Implemented Generative Adeversarial Network on JAFFE dataset
mercury-telemetry
Mercury is a telemetry system that was developed as the main objective of a class at NYU. I was part of the backend team.
Novel-metric-to-calculate-similarity-between-original-and-WAE-synthesized-image
This is the code implementation of our research paper in AICAI '19 Dubai.
openfoodfacts-ai-annotated-barcodes
Annotated barcode dataset for openfoodfacts. Contains train and test images.
Quasi-Euclidean-metric
Code for my first research paper. In this, we developed a novel formula to calculate image similarity of images using quasi euclidean metric
Spam-Detection-using-neural-nets-MLP-Classifier-
STOCK-MARKET-PREDICTION
This was done as part of CS-GY 9223: Programming for Big Data Project
Youtubeknowsme
Analysis of my watch history to figure out my Youtube habits and what youtube can tell from the data they collect about me
iamvibhorsingh's Repositories
iamvibhorsingh/Spam-Detection-using-neural-nets-MLP-Classifier-
iamvibhorsingh/audio-GAN
iamvibhorsingh/Digit-Recognition
iamvibhorsingh/helloworld
Hello, world in different programming languages
iamvibhorsingh/KNN
iamvibhorsingh/Miscellaneous-Stuff-
iamvibhorsingh/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
iamvibhorsingh/Reinforcement-Learning
Crude programs that i've made using the concept of Reinforcement Learning
iamvibhorsingh/Sentiment-Analysis
Programs that i've worked on for detecting emotions via text
iamvibhorsingh/spidy
The simple, easy to use command line web crawler.
iamvibhorsingh/SVM-Stuff
All my projects reating to Support Vector Machines