newton-cg

There are 0 repository under newton-cg topic.

• RyanWangZf / Influence_Subsampling

  Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020

  influence-functionssubsamplingnoisy-labelsnewton-cgtruncated-newton-methodaaai2020aaai
  Language:Python 65

• jerrywn121 / convex_clustering

  Convex Clustering

  agmnewton-cgclusteringconvex-optimization
  Language:Python 3
• Shimming_Coil

  Yujie-Zhao / Shimming_Coil

  1D shimming coil design and optimisation algorithm

  arduinoblinkaheat-sink-calculatori2c-deviceltspice-simulation-filesnmrop-ampspwm-driverpycharm-idepythonrc-circuitshimmingvoltage-regulator2n2222adafruit-librarymcp2221newton-cgpca9685scipy-optimizesympy-library
  Language:Python 2
• Shimming_coil

  DYK-Team / Shimming_coil

  1D shimming coil design and optimisation algorithm

  2n2222arduino-ideic2-busmcp2221newton-cgnmrpca9685pwm-driverpycharm-iderc-circuitshimmingvoltage-regulatoradafruit-libraryop-ampsscipy-optimizeopamp-buffercurrent-boosterarduino-mega-2560blinkasympy-library
  Language:Python 1

• sergiosacj / IC-2019-2020

  Este trabalho aborda o método de gradientes conjugados para solução de um subproblema do método de Newton para sistemas não lineares irrestritos.

  optimizationconjugate-gradientnewton-cgnewton-choleskyminimization
  Language:Jupyter Notebook 0

• ashishyadav24092000 / ParkinsonDetection_LogisticRegression

  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 moved from XGBClassifier to Logistic Regression.

  accuracyclasificatliblinearlogisticnewton-cgnumpypandasparkinsonpreprocessingsklearn-librarysolver
  Language:Jupyter Notebook