shreshthtuli

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

cnn_design-space

[TECS'23] CNNBench tool for generation and evaluation of CNN architectures.

DeepFT

Self-Supervised Deep Learning based Surrogate Models for Fault-Tolerant Edge Computing

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

SimTune

Simulator Tuning to Bridge the Reality Gap for Resource Management in Edge Computing

TimeEval-algorithms

Time series anomaly detection algorithm implementations for TimeEval (Docker-based)

MetaNet

[CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments

cnn_txf_bias

[CogSci'21] Study of human inductive biases in CNNs and Transformers.

TranAD

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

COSCO

[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments

Kalman-and-Bayesian-Filters-in-Python

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 filters, and more. All exercises include solutions.

PreGAN

[Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing

BETH_Dataset_Analysis

WorkflowGenerator

Synthetic workflow generators

SplitPlace

[TMC'22] SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments

radon-methodology

Getting started: RADON Methodology for developing microservices and serverless applications

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

GENNI

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

DLSF

[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments

gans-awesome-applications

Curated list of awesome GAN applications and demo

tango

[IJCAI'21] TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators

commonsense-task-planning

[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.

covid-19-prediction

[IoT'20] Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing

HealthFog

[FGCS'20] An ensemble deep learning based smart healthcare system for automatic diagnosis of heart diseases in integrated IoT and Fog computing environments

ncov

Nextstrain build for novel coronavirus SARS-CoV-2

pytorch_geometric

Graph Neural Network Library for PyTorch

clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.