yanjunchi's Stars
google/or-tools
Google's Operations Research tools:
zhangqianhui/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
yangxue0827/RotationDetection
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
KaihuaTang/Scene-Graph-Benchmark.pytorch
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”
Thinklab-SJTU/ThinkMatch
A research protocol for deep graph matching.
SJTU-Thinklab-Det/DOTA-DOAI
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
Thinklab-SJTU/R3Det_Tensorflow
Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Thinklab-SJTU/pygmtools
A Python Graph Matching Toolkit.
Lin-Yijie/Graph-Matching-Networks
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).
Thinklab-SJTU/CSL_RetinaNet_Tensorflow
Code for ECCV 2020 paper: Arbitrary-Oriented Object Detection with Circular Smooth Label
bianjieai/irita
IRITA Consortium Blockchain
avalonstrel/GatedConvolution
An reimplement version of inpainting model in Free-Form Image Inpainting with Gated Convolution
chaovven/PyRL
PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)
lygztq/SEAggregation
Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"
Thinklab-SJTU/DP3
Deep Point Process by PyTorch
chaovven/SMIX
Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020
ahottung/CVAE-Opt
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
zhongyu1998/PG-GNN
Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"
Receiling/DP3
Deep Point Process by PyTorch
sharpenb/Uncertainty-Event-Prediction
Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)
Thinklab-SJTU/DPMC
Code for AAAI 2020 paper: Clustering-aware Multiple Graph Matching via Decayed Pairwise Matching Composition
xandaschofield/locally_private_bpf_icml19
Code used for ICML 2019 Submission "Locally Private Bayesian Inference for Count Models"
Thinklab-SJTU/LANTERN-NeurIPS-2019
Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""
Cloudcatcher888/ActionDetection