Mayank Baranwal's repositories
DelayResolvedRL
Implementation of the DRDQN algrotihm described in our CIKM'21 paper titled "Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays"
ode-lstms
Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
Struct2Graph
A PyTorch implementation of GCN with mutual attention for protein-protein interaction prediction
ml4co-competition
Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
DIG
A library for graph deep learning research
ecole
Extensible Combinatorial Optimization Learning Environments
rna-seq-vae
Synthetic gene expression data generation using Variational Auto-Encoder
egnn-pytorch
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
employee-scheduling
Schedule employees using a discrete quadratic model with a hybrid solver.
SMAAC
This repo contains the code of "Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic".
PDE-Identification-Features
Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features
immunization-strategy
Find the minimal number of immunization doses required to break the transmission cycle of a virus or infectious disease within a population. Solved using the LeapHybridDQMSampler.
GraphLIME
This is a Pytorch implementation of GraphLIME
ocp
https://opencatalystproject.org/
rl_delay_basic
Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.
latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
pytorch-rl
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
L2RPN-WCCI-2020-Winner
This repository contains source code of L2RPN WCCI 2020 Winner
learning-2opt-drl
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
vgae_pytorch
This repository implements variational graph auto encoder by Thomas Kipf.
Correlation-of-COVID19-XRay-images-death_rate
Correlation of COVID-19 Patients' X-Ray images and death rate using CNN.
TGLSTM
Pytorch implementation of LSTM for irregular time series
Centroid-encoder
Code package of centroid-encoder with the example of USPS data.