Siddharth Shakya's Projects
Notepad With AI Feature To Detect Key-Phrases In Text
GUI-based software for training, evaluating and applying deep neural nets for image classification
TYPO3 e-commerce extension for professional, ultra fast online shops, complex B2B applications and #gigacommerce
Awesome Android references for everything like best practices, performance optimization, etc.
A curated list of awesome Android UI/UX libraries
A curated list of software and architecture related design patterns.
papers about ocr
Contact Manager App
ššš¶ļøš© Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
This is my repository for Data Structures using Python
Tkinter based GUI wrapper for semantic segmentation using deeplab V3. (Inference Only)
First app for Learning FastApi framework
The fastai book, published as Jupyter Notebooks
Config files for my GitHub profile.
Heart Disease Indenitification Using different machine learning approach
Project page for End-to-end Recovery of Human Shape and Pose
Just random codes for revising concepts
Collection Of Books On ML
E-Commerce App Source Code for Android with Material Design Pattern Using Firebase and MySQL with Android Lottie Animations just like Flipkart, Myntra and Amazon :)
Models and examples built with TensorFlow
ObamaNet : Photo-realistic lip-sync from audio (Unofficial port)
The objective of the project is to recognize multiple instances of an object in the given search image using SIFT feature extraction and matching. It is a technique which is scale and rotation invariant. Further homography is used for faster and better results.
This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"
Papers with code. Sorted by stars. Updated weekly.
This has code from Denny Britz's blog with very little modification
This is semantics text classification with both client and server side scripts and a GUI for client to interact with the server. It has code for both training and inference.
Framework for semantic segmentation using Deep Learning models.
Code, demos and data for SketchParse (a neural network for sketch segmentation). Paper:
Maters Thesis IISc Bangalore
This was a take home test of a startup that I applied for. It is a multiclass classification problem.