Name: Siddhartha Gairola
Type: User
Company: Max Planck Institute for Informatics
Bio: PhD Researcher @MPI-INF & Amazon Science
Previous: Microsoft Research, Adobe Inc., IIIT-H, GSoC '17, '18 @scilab.
Twitter: sidgairo18
Location: Saarbrücken, Germany
Blog: https://sidgairo18.github.io/
Siddhartha Gairola's Projects
3-D Game using OpenGL (without the sound library libklang)
A standalone version of the B-cos-v2 project (https://github.com/B-cos/B-cos-v2) without all the training fluff.
This is a basic camera app made in android using CameraX.
CCExtractor - Carlos' version (mainstream).
Project done as a part for a Hackothon at Google India - Develop an ML model to classify waste images into categories.
A clickbait detection system.
This is the tsne visualization of CNN embeddings taken from a pre-trained CNN (VGG) on ImageNet dataset. I will be using Andrej Karpathy's code . Refer - https://cs.stanford.edu/people/karpathy/cnnembed/
The 3rd edition of course.fast.ai
A deep network to generate inspirational quotes.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
This is a modification of the project and work - "What Makes Paris Look like Paris?" and "Unsupervised Discovery of Mid-Level Discriminative Patches."
Game made using python and pygame
A Deep Learning approach to Health Forum Message Classification, as part of project work for CS4731: Information Retrieval and Extraction.
Matlab toolbox for Geometry Processing.
Just for some images or results.
An interactive tool for visualising the IMDB Movie Poster in different colour and style feature spaces.
Mini SQL engine in python.
The full minitorch student suite.
OpenMMLab Pre-training Toolbox and Benchmark
Module 0 - Fundamentals
Module 1 - Autodifferentiation
Module 2 - Tensors
Movie genre classifcation using movie posters.
Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
How to train an object detection model easy for free
Codes and notes for some of the online courses I am taking.
Here I will update my codes for all the new algorithms that I learn and the different problems which I solve on the several Competitive Programming platforms like Codeforces, CodeChef, HackerRank, etc.
Sample codes and practice for pytorch and tf.