ankitesh97

StockPredictionWithSentiment

This repository delineates the affect of social perception on the stock price of a company

GANS

This repository contains application based on various gans

How-To-Win-Kaggle-Competitions

This is my assignments and work for the course "How to win kaggle competitions" on coursera

ideate

app

Lip-Reading

Repo for lip reading

NewsGenerator

Rnn (vanial, GRU and LSTM) from scratch

ankitesh97.github.io

Presonal Website

BicycleGAN

Toward Multimodal Image-to-Image Translation

blog

This is personal blog

CBRAIN-CAM

Code for neural network parameterization project

cbrainPDE

This repository contains the code for cbrain PDE discovery experiments

Compiler-MiniMatlab

Convolutional-Neural-Networks

This is my submissions for the course Convolutional Neural Networks provided by Andrew An on Coursera

cs231n.github.io

Public facing notes page

cs274p

Code Repository for University of California Irvine CS 274P

DataScienceExamples

Examples on data science as reference to blog posts.

Deep-Image-Matting

This is tensorflow implementation for paper "Deep Image Matting"

deep-learning-models

Keras code and weights files for popular deep learning models.

Distributed-FIle-System

Functional-Program-Design-in-Scala

This is my assignment submission for the course 'Functional_Program_Design_in_Scala' on coursera

Functional-Programming-Principles-in-Scala

This is my assignments submission for the course "Functional Programming Principles in Scala" on coursera

HiDT

High-Resolution Daytime Translation Without Domain Labels

NetPong

pytorch

Fork of PyTorch, with improved LBFGS optimizer: line search based step size, full batch and minibatch operation possible. See

rvm-find

Relevance Vector Machines (RVMs) for Bayesian data-driven discovery of PDEs.

Sequence-Models

This is my lab solutions for the course "Sequence Models" offered by deeplearning.ai on coursera

Smart-Agriculture-using-IoT-and-Machine-Learning

The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure

the-gan-zoo

A list of all named GANs!

Trash-Bank

MLH SB Hacks submission

WorkingGroundCbrain

This is private working ground for Cbrain