Hust1Booze's Stars
scipopt/PySCIPOpt
Python interface for the SCIP Optimization Suite
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Blealtan/efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
kzl/decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
facebookresearch/online-dt
Online Decision Transformer
opendilab/awesome-decision-transformer
A curated list of Decision Transformer resources (continually updated)
meta-llama/llama3
The official Meta Llama 3 GitHub site
ds4dm/learn2branch
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
cwfparsonson/retro_branching
Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
Haichao-Zhang/PEX
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
lascavana/rl2branch
tinkoff-ai/CORL
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
ai4co/rl4co
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
proroklab/popgym
Partially Observable Process Gym
google-research/google-research
Google Research
kevslinger/DTQN
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
wilile26811249/Fastformer-PyTorch
Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
lucidrains/q-transformer
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
AGI-Labs/continual_rl
Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.
awarelab/continual_world
mabirck/CatastrophicForgetting-EWC
#WORK IN PROGRESS PyTorch Implementation of Supervised and Deep Q-Learning EWC(Elastic Weight Consolidation), introduced in "Overcoming Catastrophic Forgetting in Neural Networks"
IOHprofiler/IOHexperimenter
Experimentation procedure for Iterative Optimization Heuristics
Evolutionary-Intelligence/dpop7
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
Evolutionary-Intelligence/EC-A-Modern-Perspective
Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (from 2023 to 2027).
Evolutionary-Intelligence/DistributedEvolutionaryComputation
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
pemami4911/neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940