Stars
💯 Curated coding interview preparation materials for busy software engineers
[TECS'23] CNNBench tool for generation and evaluation of CNN architectures.
Self-Supervised Deep Learning based Surrogate Models for Fault-Tolerant Edge Computing
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Simulator Tuning to Bridge the Reality Gap for Resource Management in Edge Computing
Time series anomaly detection algorithm implementations for TimeEval (Docker-based)
[CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments
[CogSci'21] Study of human inductive biases in CNNs and Transformers.
[DSN'22] Confidence Aware Resilience Model for Edge Federations
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
[Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing
[NeurIPS-W'21] Generative Optimization Nets for Memory-Efficient Data Generation
[TMC'22] SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments
Getting started: RADON Methodology for developing microservices and serverless applications
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
A beautiful, simple, clean, and responsive Jekyll theme for academics
[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
Curated list of awesome GAN applications and demo
[IJCAI'21] TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
[RSS '20] Code repository for learning common sense knowledge for robot task planning. Contains simulation environment, data sets and models for learning tool use for a robot platform.
[IoT'20] Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing
[FGCS'20] An ensemble deep learning based smart healthcare system for automatic diagnosis of heart diseases in integrated IoT and Fog computing environments
Graph Neural Network Library for PyTorch