Thinklab-SJTU / ThinkML4CO
This repository contains open source machine learning combinatorial optimization tools, developed and maintained by Thinklab@SJTU.
☆11Updated 3 years ago
Alternatives and similar repositories for ThinkML4CO:
Users that are interested in ThinkML4CO are comparing it to the libraries listed below
- ☆10Updated 2 years ago
- [ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.☆9Updated last year
- Code for 'Region Segmentation via Deep Learning and Convex Optimization' paper.☆9Updated 5 years ago
- ☆11Updated 10 months ago
- ☆11Updated 11 months ago
- ☆14Updated 2 years ago
- Sparse graph attention☆17Updated 6 years ago
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Updated 5 years ago
- ICME2022 Special Session “Beyond Accuracy: Responsible, Responsive, and Robust Multimedia Retrieval ”☆11Updated 8 months ago
- [CVPR2021] Code for Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search☆9Updated 3 years ago
- ☆14Updated 3 years ago
- ☆13Updated 2 years ago
- 2nd place solution of ECCV 2020 workshop VIPriors Image Classification Challenge, https://arxiv.org/abs/2008.00261☆13Updated 3 years ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 4 years ago
- Literature and code for inverse reinforcement leanring research☆26Updated 4 years ago
- PyTorch implementation for OD-cheap-convolution.☆20Updated 5 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 2 years ago
- Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving☆14Updated 2 months ago
- Implementation of EPSNet for panoptic segmentation on PyTorch☆13Updated 4 years ago
- Online Planner Selection with Graph Neural Networks and Adaptive Scheduling (AAAI 2020)☆34Updated last year
- [IROS 2021] ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation☆10Updated 2 years ago
- This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…☆15Updated 4 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆26Updated 3 years ago
- ☆19Updated 3 years ago
- Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms☆11Updated 3 years ago
- NIRM: Dismantling Complex Networks by a Neural Model Trained from Tiny Networks☆12Updated 2 years ago
- Code for reproducing IS-Count: Large-scale Object Counting with Importance Sampling (AAAI 2022)☆26Updated 2 years ago
- ☆20Updated 5 years ago