Name: Pratik Karmakar
Type: User
Company: National University of Singapore
Bio: PhD Student, National University of Singapore |
MSc Data Science, RKMVERI, Belur |
Electrical Engineering, Jadavpur University, Kolkata
Location: Singapore
Pratik Karmakar's Projects
Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"
PyTorch implementation of adversarial attacks.
Projects and works on computer vision
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Data Shapley: Equitable Valuation of Data for Machine Learning
SciPy distribution fitting
A lucid visual walk through Fourier Transform
Jupyter Notebooks for AI@CUMC's Python Workshops
Keras documentation, hosted live at keras.io
materials for learing various stuff by doing them myself
Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
MSc BDA
Standalone helper functions I've written that may be broadly useful
Data augmentation for NLP
In this repository, I have explored Online Mirror Descent Algorithms with and without Expert Advice. A .py file with the functions written in numpy is provided and its use is also demonstrated in two different IPYNB files.
Here I explore the intricacies of the optimisation algorithms used in machine learning and deep learning through visualisations and simulation.
Codes used for expected shapley like scores
Adding support for provenance and uncertainty management to PostgreSQL databases
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python Data Science Handbook: full text in Jupyter Notebooks
Newton and Quasi-Newton optimization with PyTorch
Learn how to use PyTorch to solve some common NLP problems with deep learning.
Pytorch Geometric Tutorials
Regression Practice
🌊 Online machine learning in Python
This work is an exploration and understanding of the original work by Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi
Project on time series