Parikshit Deshmukh's Projects
Alexa Custom Skills
An android messaging application implementing concepts of multithreading, ISIS algorithm, FIFO Total ordering, networking and distributed systems.
Example Code for Kafka Tutorials @ Learning Journal
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
Caffe: a fast open framework for deep learning.
Internal messenger for chrome to chrome communication. This extension allows chrome user to chat with each other avoiding use of WhatsApp or Facebook.
A complete computer science study plan to become a software engineer.
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
Developing a real-time messaging app with multi-cast capability along with failure detection and recovery, based on Amazon Dynamo for distributed key-value storage for replication
A scalable distributed data storage system to store the data equally across all the data nodes (AVDs) following Chord Ring protocol and managed by Distributed Hash Table.
Importing data from DB to excel
A sample Fitbit API app using Spring Boot
The D-app we developed is used to trace the source of the food consumer is buying. In addition to this, different parties can tap in at their data points to access the supply chain for multiple uses like data entry. The web app is bootstrapped using Truffle framework.
This is the code for the "How to Use Tensorboard" live session by Siraj Raval on Youtube
The application intelligently calculate user's nutrient requirement based on their characteristics such as age, sex, height, weight, physical activities, and inspiration to stay healthy. These data forms the basis of presenting their calorie composition which is further analyzed to recommend their dietary plans. The recommendations can vary depending on their choice of dietary plans.
an introduction to the javascript programming language. intended audience: cats
Machine Learning project to predict the Airport with minimum flight delay within a city
Essential Cheat Sheets for working on Machine Learning/ Deep Learning Projects
Multi class classification using Convolutional neural network for Handwritten Digit Recognition using TensorFlow
Projects on building and training Linear Regression models by integrating Early Stopping and Stochastic Gradient Descent algorithm
Machine Learning Project on multi-layer neural network from scratch and also using TensorFlow, Keras and PyTorch libraries. Accuracy achieved 99%
Project for bounding boxes
An elaborate showcase of my projects, skills, articles and products that I am working on in my free bandwidth.
Central resource for all info a new graduate student at University at Buffalo needs.