[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Scalable Python DS & ML, in an API compatible & lightning fast way.

InceptionTime: Finding AlexNet for Time Series Classification

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

Create powerful Hydra applications without the yaml files and boilerplate code.

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

💻 Microservice lib designed to ease service building using Python and asyncio, with ready to use support for HTTP + WS, AWS SNS+SQS, RabbitMQ / AMQP, middlewares, envelopes, logging, lifecycles. Extend to GraphQL, protobuf, etc.

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)

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

scalable multi agents reinforcement learning

Scalable distributed reinforcement learning agents on kubernetes

A simple Python-based distributed workflow engine

HYDRA: Competing convolutional kernels for fast and accurate time series classification

This is the official main repository for the Assimilation project

Embedding-based Scalable Segmentation Network

A Scalable Data Cleaning Library for PySpark.

FastAPI + PostgreSQL Starter Kit: A streamlined template for building backends with FastAPI, PostgreSQL, and Docker.

An API-first distributed deployment system of deep learning models using timeseries data to predict the behaviour of systems

ai42z is an innovative framework designed to transform Large Language Models (LLMs) into autonomous, self-learning AI agents. The framework stands out by enabling AI agents to build and maintain a cumulative knowledge base through real-world experience, moving beyond the limitations of traditional static instruction-following systems.

This is a image matching system for scalable and efficient matching of images from a large database. The basic idea is to compute perceptural hash value for each image and compare the similarity based on the pHash computed. Searching are scalable with the elasticsearch as the backend database.