Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
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Updated
Dec 18, 2018 - Python
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena
tools for finding/selecting options using the e*trade developer API
Modified Extended Kalman Filter with generalized exponential Moving Average and dynamic Multi-Epoch update strategy (MEKF_MAME)
A python package to extract historical market data of cryptocurrencies and to calculate technical price indicators.
A simple, customizable EMA Crossover Forex trading algorithm made with Oanda's Rest v20 API.
Testing the profitability of an algo-trading algorithm which uses exponential moving averages
mic_py : Python 3 code for successful use of microphone on windows. stdev_ema.py : Python 3 code for calculation of standard deviation and exponential moving average of stock data.
Stock market momentum analysis using averaging of 7 weighted technical indicators
Exponential Moving Average (EMA) — https://thefintechbuilder.com/technical-indicators/trend-smoothing/ema/
Python module for calculating stock charts using yfinance and pandas
This is a ROS package for sensor (gaussian) noise filtering. This package consists of different filters (e.g. moving average, exponential moving average, butterworth) and signal visualization tool.
Creating datasets to backtest EMA algorithms
Visualize how EMA span selection affects observability of JetStream metrics like consumer lag, ack latency, and stream throughput.
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