Popular GitHub Repositories for Pachinko Allocation

The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Portfolio optimization with deep learning.

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Python package of Tomoto, the Topic Modeling Tool

SD-WEBUI-DISCORD is a Discord bot developed in Go language for stable-diffusion-webui. It utilizes the sd-webui-go to invoke the sd-webui API and supports cluster deployment of multiple sd-webui nodes with automatic scheduling and allocation.

[CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

Fair Resource Allocation in Federated Learning (ICLR '20)

An R package for Keyword Assisted Topic Models

Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

Source code for the paper "Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks".

BERT, LDA, and TFIDF based keyword extraction in Python

Topic modelling on financial news with Natural Language Processing

Use Python and NLTK to build out your own text classifiers and solve common NLP problems

The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.

CNN-Based Resource Allocation for Energy-Efficient D2D Communications

Library of Joint Topic-Sentiment Models

Code for our paper on doing resource allocation with graph neural networks