pianosounds's Stars
leijue222/portrait-matting-unet-flask
Portrait Mating implementation in UNet with PyTorch.
XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
GuansongPang/ADRepository-Anomaly-detection-datasets
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
betterenvi/gSpan
Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
pianosounds/HeteroPush
The implementation of "HeteroPush: Communication-Efficient Video Analytics by Scheduling Heterogeneous Filters"
ywhuazhong/CSLSL
PyTorch Implementation of CSLSL
ayanc/edgeml.mdp
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
yuanmu97/YOLOX-Inference
A simple script of using YOLOX model just for inference.
yuanmu97/MLink
Repository for AAAI'22 paper "MLink: Linking Black-Box Models for Collaborative Multi-Model Inference".
yue-zhongqi/ifsl
[NeurIPS 2020] Released code for Interventional Few-Shot Learning
microsoft/scene_graph_benchmark
image scene graph generation benchmark
yfzhang114/Generalization-Causality
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
altdeep/causalML
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
DeepGraphLearning/RNNLogic
ranjaykrishna/visual_genome_python_driver
A python wrapper for the Visual Genome API
LarryJiang134/Image_manipulation_detection
Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection
VincentJYZhang/USTC_Lecture
USTC研究生学术报告选课脚本
THU-KEG/Knowledge_Graph_Reasoning_Papers
Must-read papers on knowledge graph reasoning
extreme-assistant/ICCV2023-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
murufeng/CVPR_2021_Papers
CVPR2021最新论文汇总，主要包括：Transformer, NAS，模型压缩，模型评估，图像分类，检测，分割，跟踪，GAN，超分辨率，图像恢复，去雨，去雾，去模糊，去噪，重建等等
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
ncble/Few-shot-learning-kears
Benchmark of recent (2018) SOTA few-shot learning algorithms on (small intra-class variation) image classification
pshroff04/Zero-Shot-Learning-based-image-classification
Yahavba/Image-classification-zero-shot-learning
A deep neural network model with zero shot learning based on cifar100 data set.
hytseng0509/CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)