DenseNet implementation in Keras

Quickly identify what's slow with WordPress

A Simple Traffic Generator for Hyperledger Fabric

中国版技术指标

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

SKYProfiler is a performance monitoring tool for Integration Server. SKYProfiler tracks the service invocations and the monitored data can be seen in real time. This helps users track the time each service invocation takes and further drills down to the child service to identify which service contributes to time.

Tensorflow implementation of deep variational information bottleneck

This project consists of C++ implementations of a 3D Rapidly Exploring Random Tree and three other extensions called RRT*, Execution Extended RRT and Synchronised Greedy Biased RRT. It also includes a heuristically guided RRT* with biased sampling towards relevant bottleneck points predicted by a 3D CNN(modified VoxNet in Tensorflow).

🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024

Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch

simple ABM program to simulate a moving danger (e.g., fire) and people in a confined space trying to escape the danger

A check-in system that uses QR codes and email notifications to track attendance at events. It includes a backend server built with express, a data processing script for generating QR codes and IDs, and a frontend scanner built with react and react-scan-qr. The system sends emails using nodemailer and limits the rate of sending with bottleneck.

99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition

Method to estimate the age and intensity of recent bottlenecks/founder events, using genotype data and a recombination map.

Visualize the Latent Space of an Autoencoder using matplotlib

⭐⭐⭐ Pytorch implementation of Attentiom, Backbone, ViT, MLP, Re-parameter, Convolution, very flexible module combination.

A sparse bottleneck neural network to predict electrophysiological properties of neurons from their gene expression.

Python-based code for estimation of highway bottleneck probability using speed transition matrices.

Zabbix Graphs Bottleneck Classification automates bottleneck analysis in network infrastructure using deep learning and the Zabbix monitoring system. It quickly identifies and classifies bottlenecks, enabling proactive network management and optimization.