grobner

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

nougat

Implementation of Nougat Neural Optical Understanding for Academic Documents

graph_nets

Build Graph Nets in Tensorflow

TensorNetwork

A library for easy and efficient manipulation of tensor networks.

PySCIPOpt

Python interface for the SCIP Optimization Suite

high_mpc

Policy Search for Model Predictive Control with Application to Agile Drone Flight

learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

pytorch_tutorials_jp

PyTorch公式チュートリアル（日本語翻訳版）の各ノートブックファイル（Google Colab用）です

TNML

Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

gurobi-logtools

Extract and visualize information from Gurobi log files

pglib-uc

Benchmarks for the Unit Commitment Problem

smili

SMILI: Sparse Modeling Imaging Library for Interferometry

rl4uc

Reinforcement learning for unit commitment

selectivenet

code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"

Hybrid-learn2branch

Hybrid Models for Learning to Branch (NeurIPS 2020)

neural_lns

Predict-and-Search_MILP_method

Predict and search framework for MilP

learn2branch-ecole

Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)

latex-template-ja

日本語論文を書くための自動ビルド・校正機能付きテンプレートリポジトリ

study-tex

TeX/LaTeXの知識を共有するためのリポジトリ。9割LaTeX

ipc

mipGNN

learn2comparenodes

Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)

RL_Book

ml4co-competition

Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.

tensor-networks-mnist

Testing the performance of different tensor network architectures on MNIST classification tasks.

learning2cut

Reinforcement Learning for Cut Selection

GNN_branching

Implementation of GNN ReLU branching strategies

ts4uc

Tree Search for the UC Problem

TNLecture

Materials for lecture of tensor network