DenseNet implementation in Keras
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Updated
Jun 10, 2020 - Python
DenseNet implementation in Keras
A Simple Traffic Generator for Hyperledger Fabric
Quickly identify what's slow with WordPress
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.
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
99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition
Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch
Tensorflow implementation of deep variational information bottleneck
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.
🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
simple ABM program to simulate a moving danger (e.g., fire) and people in a confined space trying to escape the danger
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset
A Keras implementation of YOLOv3 (Tensorflow backend)
Visualize the Latent Space of an Autoencoder using matplotlib
Method to estimate the age and intensity of recent bottlenecks/founder events, using genotype data and a recombination map.
⭐⭐⭐ Pytorch implementation of Attentiom, Backbone, ViT, MLP, Re-parameter, Convolution, very flexible module combination.
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.
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