cynthia-1999's Stars
CRIPAC-DIG/GRACE
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
PyGCL/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
emonnmoz011/Bot-IoT
This project aims to characterize the incoming traffic in an IoT (Internet of Things) environment using Machine Learning and Deep Learning Techniques. We have utilized the Bot-IoT dataset created in the Cyber Range Lab of UNSW Canberra. There were four categories to characterize in the dataset. The traffic categories are (a) DDoS (b) DoS (c) Reconnaissance and (d) Normal. I implemented (a) SVM (b) LSTM and (c) Vanilla RNN to observe the classification results
xuebinqin/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
inspire-group/privacy-vs-robustness
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
waimorris/E-GraphSAGE
A PyTorch implementation of of E-GraphSAGE.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
BBuf/how-to-learn-deep-learning-framework
how to learn PyTorch and OneFlow
BBuf/how-to-optim-algorithm-in-cuda
how to optimize some algorithm in cuda.
BBuf/tvm_mlir_learn
compiler learning resources collect.
yifengyou/os-elephant
《操作系统真象还原》源码及学习笔记（os-elephant）还原真相
chenzomi12/AISystem
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
openppl-public/ppq
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
openppl-public/ppl.nn
A primitive library for neural network
BeSky/NuRaft