Dnnamo: Tools for Analysis, Modeling, and Optimization of Deep Neural Networks

This is not a usual PV/UV log analyse tool, but another perspective of web log. It provide fine grained(the minimum is every minute) trouble shooting and performance optimization in a specified time period, based on it's flexible and various summaries.

An extension to standard Python's heapq for high performance applications

Optimizing Einstein Sum Implementation in PyTorch with Specialization, Path Searching, and GPU-Native Contraction

Validate your API requests using API Gateway | Reduce cost & Improve Performance

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 …

Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.

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.

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.

Cutting-edge codes & resources for parallel computing, optimized algorithms, and efficient data processing in CUDA, OpenCL and OpenMP.

A Django app that tracks your queries to help optimize them. Demo: https://dj-tracker-bakerydemo.herokuapp.com/dj-tracker/

适用于高性能系统的多进程解压缩软件(A multiprocess decompression software for high-performance system)

"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.

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.

Code for a presentation around profiling Django applications with Django Silk

A comprehensive exploration of database design, schema, performance optimization, management, and advanced data techniques.

pipfile.lock comparer: find common packages and differences between Pipfile versions or projects

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.

Forecast AWS Athena queries' consumption of memory

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.