Venkat Sai Suman Lamba Karanam's repositories
cv
Curriculum Vitae. Modified from the template provided at: https://www.overleaf.com/latex/templates/moderncv-and-cover-letter-template/sttkgjcysttn
distributed-energy-coordinator
Distributed energy coordinator application
distribution-discrepancies
Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence
dss_capi
A multi-platform, customized C-API library for an alternative implementation of OpenDSS (EPRI Distribution System Simulator) aiming for full COM compatibility. Unofficial/unsupported by EPRI, but extensively tested.
dssdata
⚡A python micro-framework for simulation and data analysis of electrical distribution systems modeled on OpenDSS.
dtaidistance
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
firesim
FireSim: Fast and Effortless FPGA-accelerated Hardware Simulation with On-Prem and Cloud Flexibility
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
gridappsd-state-plotter
It is application that subscribes to state estimator output and plots the results.
nutch
Apache Nutch is an extensible and scalable web crawler
open-smart-grid-platform
This repository combines the code from and supersedes the prior existing Shared, Platform, Protocol-Adapter-OSLP, Protocol-Adapter-IEC61850, Protocol-Adapter-DLMS, PublicLightingDemoApp and Integration-Tests repositories. The old repositories have been kept online for now in readonly mode to preserve the historical information.
optical-rl-gym
Set of reinforcement learning environments for optical networks
papers_open_source
Collection os useful paper organized by topics
posters
Posters that were presented and published
pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
PyPOTS
A python toolbox/library for data mining on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with missing values.
pypower
power spectrum and window function estimation
PyPSA
PyPSA: Python for Power System Analysis
pypsa-eur
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
QAMpy
QAMpy is a DSP chain for the simulation and equalisation of optical communications signals
quantumflow
QuantumFlow: A Quantum Algorithms Development Toolkit
river
🌊 Online machine learning in Python
smartmeter-datacollector
Smart Meter Data Collector
sparse-growth-curve
Analysis of bacterial growth curves with relatively low temporal resolution.
stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
ts-anomaly-benchmark
Time-Series Anomaly Detection Comprehensive Benchmark