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academy

Ray tutorials from Anyscale

charts

Helm Charts

daily-leetcode

data-cleaning-before-hypodd

Double difference algorithm (Waldhauser and Ellsworth, 2000) is a widely used method to improve the seismicity pattern precision in seismology. However, the raw data downloaded from networks can not be used as the inputs directly due to formats, info sequence, missing data, redundant info etc.. Here, we present codes to deal these problems (use Spainish local network catalog as an example) and the resulted two files can be directly used as inputs of double difference relocation (hypoDD).

deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

docker-react

faceid

Real time face detection and recognition

flux-get-started

Getting started with Flux and the Helm Operator

fluxcd

fraud-detection

helm-operator-get-started

Managing Helm releases with Flux Helm Operator

predict-titanic-survivals

The Titanic challenge on Kaggle is a competition in which the task is to predict the survival (labled 1) or the death (labled 0) of a given passenger based on a set of variables describing him/her includng age, sex, or passenger class on the boat, etc.

qlearningforecast

reinforcement_learning

Predict/log/learn/update reinforcement learning loop

stochastic-optimization

Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.

test-helm-operator

video-mamba-suite

The suite of modeling video with Mamba

web-traffic-time-seres-forecasting

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors