Neelimajr

Neelimajr's Stars

• saideeptiku/sti_welm

  localization through STI-WELM fingerprinting

  Language:Python11

• lejlot/TWELM

  Weighted Tanimoto Extreme Learning Machines

  Language:Python93

• ExtremeLearningMachines/Weighted-ELM

  Weighted ELM Codes for Binary Problems

  Language:Matlab105

• masaponto/Python-ELM

  Extreme learning machine implemented by python3 with scikit-learn interface

  Language:Python4619

• radu-dogaru/ELM-super-fast

  Python implementation of ELM - with optimized speed on MKL-based platforms; Described in conference paper: Radu Dogaru, Ioana Dogaru, "Optimization of extreme learning machines for big data applications using Python", COMM-2018; Allows quantization of weight parameters in both layers and introduces a new and very effective hidden layer nonlinearity (absolute value)

  Language:Python81

• chickenbestlover/Online-Recurrent-Extreme-Learning-Machine

  Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

  Language:Jupyter Notebook15467

• otenim/Numpy-ELM

  A Numpy Implementation of Extreme Learning Machine (ELM)

  Language:Python3512

• otenim/TensorFlow-OS-ELM

  A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)

  Language:Python5517

• acba/elm

  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

  Language:Python9257

• HeroKillerEver/coursera-deep-learning

  Solutions to all quiz and all the programming assignments!!!

  Language:Jupyter Notebook639635

• Kulbear/deep-learning-coursera

  Deep Learning Specialization by Andrew Ng on Coursera.

  Language:Jupyter Notebook7.5k5.5k

• dclambert/Python-ELM

  Extreme Learning Machine implementation in Python

  Language:Python547257

• laippmiles/ELM

  ELM and Weighted ELM

  Language:Python2

• sumanth-bmsce/SupervisedELM

  Implementation of Supervised Extreme Learning Machine for binary classification

  Language:Python3

• ivallesp/simplestELM

  A very simple implementation of the Extreme Learning Machine Algorithm (Deep Learning implementation)

  Language:Python2110

• radu-dogaru/LightWeight_Binary_CNN_and_ELM_Keras

  Light weight convolutional neural networks and Keras based ELM (extreme learning machine)

  Language:Jupyter Notebook62

• HimalayPatel/credit-card-fraud-detection

  Implemented Decision Tree, Random Forest and Deep Neural Network (5 layers) on a real anonymized dataset. Used undersampling and oversampling (SMOTE) with Deep Neural Network to balance the highly imbalanced dataset (very less fraudulent transactions as compared to non-fraudulent ones). Achieved 99.6% test accuracy using SMOTE with NN along with 0 Type-II errors (false negatives).

  Language:Python2

• rs301378/Class_balancing

  The dataset is used in this experiment is PubChem Bioassay dataset which is highly imbalanced and high dimensional. In this experiment only data balancing is implemented.

  Language:Jupyter Notebook1