ShambhaviCodes

Big-Data-using-PySpark

In this project, I explored Spark as an alternative to Pandas for Data Cleaning and Exploration.

Data-Augmentation

This repository contains my approach to data augmentation for various tasks.

Document-Similarity

This repository contains final submission of assignment on document similarity.

Image-Super-Resolution

In this repository, I explore Image Super Resolution using Autoencoders in Keras.

miscalibration-ssl

Multiple-Linear-Regression

Projectified-Weeks

This is an iniative to drive the AI/ML Community towards effective projects building every month.

Simple-Linear-Regression

Code for simple linear regression model in machine learning from scratch.

Synthetic-Image-Generation

In this project, I explore DCGANs to generate synthetic images using Keras.

Unsupervised-Machine-Learning-for-Customer-Segmentation

This is my attempt at Coursera Project 'Unsupervised Machine Learning for Customer Segmentation' which I completed during COVID Lockdown phase.

ShambhaviCodes/miscalibration-ssl

ShambhaviCodes/Big-Data-using-PySpark

In this project, I explored Spark as an alternative to Pandas for Data Cleaning and Exploration.

ShambhaviCodes/PyTorch-November

This repository contains my experiments & projects with PyTorch. I took a challenge of #25DaysOfPyTorch in November 2020 to gain some fluency with PyTorch.

ShambhaviCodes/the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

ShambhaviCodes/AdvancedOptML

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

ShambhaviCodes/Cracking-The-Coding-Interview-Python-Solutions-and-Explanations

Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.

ShambhaviCodes/dl-course

Deep Learning with Catalyst

ShambhaviCodes/Face-Generation

Implementations of various GANs using CelebA Dataset and PyTorch

ShambhaviCodes/Generative-Adversarial-Network

This is a repository containing my submissions to DeepLearning.AI Specialisation on GANs.

ShambhaviCodes/OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

ShambhaviCodes/Annotated-Papers

ShambhaviCodes/ASLRFeatureExtractor

Code for MT Summit 2019 paper (https://www.aclweb.org/anthology/W19-6615/)

ShambhaviCodes/cotta

[CVPR 2022] CoTTA Code for our paper Continual Test-Time Domain Adaptation

ShambhaviCodes/e2e-tflite-tutorials

For project tracking of the Mobile ML WG: E2E TFLite tutorials and sample app ideas etc.

ShambhaviCodes/fastText

Library for fast text representation and classification.

ShambhaviCodes/GitHubGraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

ShambhaviCodes/IFT6135_Programming

ShambhaviCodes/LAME

This code accompanies the paper "Parameter-free Online Test-time Adaptation".

ShambhaviCodes/mario_vs_wario_v2

ShambhaviCodes/MECTA

Memory-Economic Continual Test-Time Model Adaptation

ShambhaviCodes/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

ShambhaviCodes/register

Grab your own sweet-looking '.is-a.dev' subdomain

ShambhaviCodes/Resources-on-Architecture-Search

list of auto-ml, computer vision related resources

ShambhaviCodes/SegFormer

Official PyTorch implementation of SegFormer

ShambhaviCodes/Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

ShambhaviCodes/ShambhaviCodes

ShambhaviCodes/shambhavicodes.github.io

ShambhaviCodes/starter-academic

ShambhaviCodes/suncet

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

ShambhaviCodes/TAST

Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23