[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
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Updated
Mar 10, 2023 - Python
[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 distributed reinforcement learning agents on kubernetes
A simple Python-based distributed workflow engine
scalable multi agents reinforcement learning
This is the official main repository for the Assimilation project
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A Scalable Data Cleaning Library for PySpark.
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.
QUANT: A Minimalist Interval Method for Time Series Classification
The Superior Pattern for Flask for Highly scalable structure to produce enterprise level applications
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