gantao93's Stars
opendilab/LightZero
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
tmdt-buw/schlably
Official Schlably Repository by the Institute for TMDT
lyhue1991/torchkeras
Pytorch❤️ Keras 😋😋
Lordog/dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
gantao93/invoice-ocr
gantao93/AAAMLP
Projects from the book "Approaching (Almost) Any Machine Learning Problem". Book github at https://github.com/abhishekkrthakur/approachingalmost
gantao93/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
gantao93/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
gantao93/hgs-cvrp
A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)
andri27-ts/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
TimefoldAI/timefold-solver
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.
OpenGVLab/InternVL
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
SevaSk/ecoute
Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.
henry-yeh/GLOP
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
henry-yeh/DeepACO
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
luisgarciar/3D-bin-packing
Solving the 3D bin packing problem with reinforcement learning
plclmezboss/A_Dynamic_Multi-Modal_Deep_Reinforcement_Learning_Framework_for_3D_Bin_Packing_Problem
the Pytorch implementation of A Dynamic Multi-Modal Deep Reinforcement Learning Framework for 3D Bin Packing Problem
Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
Juzhan/TAP-Net
TAP-Net: Transport-and-Pack using Reinforcement Learning
tracel-ai/burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
rust-ml/linfa
A Rust machine learning framework.
gantao93/VRPSolverEasy
VRPSolverEasy based branch-cut-and-price
gantao93/vrp
A Vehicle Routing Problem solver
Wadaboa/3d-bpp
3D bin packing solutions with layers and superitems, for Artificial Intelligence in Industry class at UNIBO
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
diadorer/3d-bin-container-packing
A variant of the Largest Area Fit First (LAFF) algorithm
gantao93/MCVRPTW_With_ALNS-R-R
gantao93/HGSRR-CVRP
HybridCVRP: A Hybrid Metaheuristic Solver for the Capacitated Vehicle Routing Problem
martsime/hybridcvrp
HybridCVRP: A Hybrid Metaheuristic Solver for the Capacitated Vehicle Routing Problem
reinterpretcat/vrp
A Vehicle Routing Problem solver