Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
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Apr 14, 2021 - Python
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newton-cg
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1D shimming coil design and optimisation algorithm
python arduino nmr pca9685 pwm-driver voltage-regulator pycharm-ide adafruit-library i2c-device 2n2222 rc-circuit shimming newton-cg mcp2221 sympy-library ltspice-simulation-files blinka scipy-optimize op-amps heat-sink-calculator
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Nov 10, 2023 - Python
1D shimming coil design and optimisation algorithm
arduino-ide nmr pca9685 pwm-driver voltage-regulator pycharm-ide adafruit-library ic2-bus 2n2222 rc-circuit shimming newton-cg mcp2221 sympy-library arduino-mega-2560 blinka scipy-optimize op-amps opamp-buffer current-booster
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Nov 2, 2024 - Python
Este trabalho aborda o método de gradientes conjugados para solução de um subproblema do método de Newton para sistemas não lineares irrestritos.
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Dec 2, 2020 - Jupyter Notebook
This is same problem which is solved in https://github.com/ashishyadav24092000/Detect_Parkinson_XGBOOSTCLASSIFIER project. But here we have used Logistic Regression instead of XGBClassifier to classify the Statuses as 0 or 1 i.e. Parkinson positive or negative. And clearly we can see that how our Accuracy suddenly dropped from 95% to 84% as we m…
numpy solver logistic pandas accuracy preprocessing liblinear parkinson sklearn-library newton-cg clasificat
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Feb 10, 2022 - Jupyter Notebook
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