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airbnb-dynamic-pricing-optimization

[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.

autoencoder-clustering

Replication of "Auto-encoder Based Data Clustering" Song et al

bioinf-590

capam-mrta

centroid-encoder

Code package of centroid-encoder with the example of USPS data.

cgat

chop

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

clustering-with-deep-learning

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

correlation-of-covid19-xray-images-death_rate

Correlation of COVID-19 Patients' X-Ray images and death rate using CNN.

covid19mx

customersupport

Real World Examples of MDP - Customer Support

data-science-competition-for-revenue-maximization

Data Science Competition that challenged teams to come up with creative ways to increase the revenue of an e-commerce company. Won 1st place! Write-up in repository

deep-reinforcement-learning-in-large-discrete-action-spaces

PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, Ben Coppin).

deepspace

delayresolvedrl

Implementation of the DRDQN algrotihm described in our CIKM'21 paper titled "Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays"

dig

A library for graph deep learning research

dsac

ecole

Extensible Combinatorial Optimization Learning Environments

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.

equibind

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

fxts-gf

gemnet_pytorch

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gnngls

Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem

graphein

Protein Graph Library

graphlime

This is a Pytorch implementation of GraphLIME

gru-d

inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver

icml16_iapi

Implementation of the IAPI algorithm and a power-system real-time simulator, as described in "Hierarchical Decision Making In Electricity Grid Management" (ICML 2016).

idpgan