The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Extensible Combinatorial Optimization Learning Environments

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)

Conjure: The Automated Constraint Modelling Tool

Infrastructure for Ordering using Seriation - R Package

Code for the paper 'Learning TSP Requires Rethinking Generalization' (arXiv Pre-print)

Kiwi is a minimalist and extendable Constraint Programming (CP) solver.

applying a conservation law to information

Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"

Tropical tensor network for spin glasses

Minotaur Toolkit for Mixed-Integer Nonlinear Optimization

C++ implementation of algorithms for finding perfect matchings in general graphs

Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

Solving tsp (travel sales problem) using ruin & recreate method.

C++ open-source parallel software for continuous and combinatorial optimization with metaheuristics.

ecr: Evolutionary Computation in R (version 2)

BCP-MAPF – branch-and-cut-and-price for multi-agent path finding

Amazing Collection Vehicle Routing Problem

Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times

📦 lightweight rectangle packing algorithm

Reinforcement learning environment for the classical synthesis of quantum programs.

Optimize QAOA circuits for graph maxcut using tensorflow

Generation of Synthetic Populations Library

A python Framework for Simple Ant Colony Optimization Algorithms

Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

SAT-based, MILP, and belief propagation preimage attacks on SHA-256 and other cryptographic hash functions

Optimization of permutation flow shop scheduling on the basis of makespan computation using natural algorithms. Done as a master's degree project at St. Xavier's College, Kolkata, under the supervision of Mr. Siladitya Mukherjee.

Nutmeg – a MIP and CP branch-and-check solver

Graph algorithms to merge two graphs based on stitching.

NLNS+VND Metaheuristic Algorithm for solving Combinatorial Optimization Problems