Densim is a library for efficient similarity search and clustering of dense vectors, which are numerical representations of data such as images, text, or audio.
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Updated
Sep 24, 2023 - Python
Densim is a library for efficient similarity search and clustering of dense vectors, which are numerical representations of data such as images, text, or audio.
ColumnCore is a high-performance analytical database system designed for beginners or small projects. It supports a rich SQL dialect, runs within the same process as the application, has a vectorized query execution engine, and uses a columnar storage format.
We've noticed a bit of traffic already on our repo this project is still new, please star / fork this repo or check out our #readme file to keep up with changes. Thank you.
An extension to standard Python's heapq for high performance applications
Benchmarks of Spring Boot REST service comparing Java 21 Virtual Threads (Project Loom) with WebFlux (Project Reactor).
Cutting-edge codes & resources for parallel computing, optimized algorithms, and efficient data processing in CUDA, OpenCL and OpenMP.
pipfile.lock comparer: find common packages and differences between Pipfile versions or projects
Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.
A comprehensive exploration of database design, schema, performance optimization, management, and advanced data techniques.
Efficiently process and load large CSV datasets into PostgreSQL using parallel processing and multithreading in Python. This repository contains scripts for generating random data and seamlessly uploading it to PostgreSQL with optimal performance.
Forecast AWS Athena queries' consumption of memory
Optimizing Einstein Sum Implementation in PyTorch with Specialization, Path Searching, and GPU-Native Contraction
Dnnamo: Tools for Analysis, Modeling, and Optimization of Deep Neural Networks
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …
This software package accompanies the paper "A Methodology for Comparing Auto-Tuning Optimization Algorithms" (https://doi.org/10.1016/j.future.2024.05.021), making the guidelines in the methodology easy to apply.
"Scraping Glassdoor: A GraphQL Journey" is an advanced data harvesting tool leveraging GraphQL and an API-first strategy to extract and analyze Glassdoor data for business intelligence and predictive analytics.
A Django app that tracks your queries to help optimize them. Demo: https://dj-tracker-bakerydemo.herokuapp.com/dj-tracker/
Validate your API requests using API Gateway | Reduce cost & Improve Performance
Code for a presentation around profiling Django applications with Django Silk
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