chi2liu's Stars
WeNeedHome/SummaryOfLoanSuspension
全国各省市停贷通知汇总
wong2/chatgpt-google-extension
This project is deprecated. Check my new project ChatHub:
facebookincubator/AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
tensorchord/envd
🏕️ Reproducible development environment
ELS-RD/transformer-deploy
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
tensorflow/gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
ebhy/budgetml
Deploy a ML inference service on a budget in less than 10 lines of code.
epfml/sent2vec
General purpose unsupervised sentence representations
baidu-research/DeepBench
Benchmarking Deep Learning operations on different hardware
GraphSAINT/GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
xprobe-inc/xorbits
Scalable Python data science, in an API compatible & lightning fast way.
tommyod/Efficient-Apriori
An efficient Python implementation of the Apriori algorithm.
ymirsky/Kitsune-py
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
chwan1016/awesome-gnn-systems
A list of awesome GNN systems.
microsoft/DeepGNN
DeepGNN is a framework for training machine learning models on large scale graph data.
cornell-zhang/GraphZoom
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
IFCA/frouros
Frouros is an open-source Python library for drift detection in machine learning systems.
mitre/menelaus
Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.
nhartland/KL-divergence-estimators
Testing methods for estimating KL-divergence from samples.
zhao-tong/GNNs-easy-to-use
An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
MITIBMxGraph/SALIENT
The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining".
ashrafgt/k8s-gpu-hpa
Horizontal Pod Autoscaling for Kubernetes using Nvidia GPU Metrics
oj9040/GraphSAGE_RL
Advancing GraphSAGE with A Data-driven Node Sampling
MITIBMxGraph/SALIENT_artifact
Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"
viral98/seq2seq-anomaly-detection
A Natural Language Processing based approach to detect malicious HTTP requests.
Mathegineer/HJW_KL_divergence_estimator
SPriyal/PAYL
Anomalous Payload-based Network Intrusion Detection
pedroharunari/KLD_estimation
Estimation of Kullback-Leibler divergence based on DOI:10.1109/ISIT.2008.4595271, by Fernando Pérez-Cruz
Souvik-Mandal-Harvard/ES_GPU