RoyalSkye

DIffUCO

step-and-reconsider

Variant of gumbeldore for the ECAI paper "Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization"

gumbeldore

Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement"

CitationMap

A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.

pypop

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]

routefinder

[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems

NCO-solvers-for-VRP

rethink_mcts_for_tsp

[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

Chain-of-Experts

Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

pyconcorde

Python wrapper around the Concorde TSP solver

LLM4Opt

A Collection on Large Language Models for Optimization

EoH

Evolution of Heuristics

pykan

Kolmogorov Arnold Networks

predopt-benchmarks

dspy

DSPy: The framework for programming—not prompting—foundation models

TBGAT

Official implementation of paper "Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem"

OptiGuide

Large Language Models for Supply Chain Optimization

llama3

The official Meta Llama 3 GitHub site

MTNCO

multi-task learning for routing problem

Awesome-Mamba-Papers

Awesome Papers related to Mamba.

calculate-flops.pytorch

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

NeuroLKH

grok-1

Grok open release

gfacs

Official repository for GFACS

learning-generic-csp

Representing CP problems as graphs

eph-mapf

[IROS'24] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

transformer-debugger

flash-linear-attention

Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton