- San Francisco, USA
- http://vinodkumarl.in
Stars
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Distributed transactional key-value database, originally created to complement TiDB
⚡ Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.
Apache Druid: a high performance real-time analytics database.
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
Netty project - an event-driven asynchronous network application framework
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
Analysis of F-1 OPT (I-765) Processing Times
Scan your WiFi and get access point information and signal quality
Uses WiFi signals 📶 and machine learning to predict where you are
Zstandard - Fast real-time compression algorithm
Security Monkey monitors AWS, GCP, OpenStack, and GitHub orgs for assets and their changes over time.
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Build and run Docker containers leveraging NVIDIA GPUs
A toolkit for developing and comparing reinforcement learning algorithms.
Datasets, Transforms and Models specific to Computer Vision
Collection of generative models in Pytorch version.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
C++ Bloom Filter Library https://www.partow.net/programming/bloomfilter/index.html
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW