Pinned Repositories
CS744-BigData-HWs
CS744: Big Data Systems homeworks, Fall 2017, Prof. Akella
deepcg
DeepHermites
EntityResolution
FairALM
IITK_feature-selection
Identification of Good Features using statistical parameters
IITK_Finalyear_project
Optimal Convergence Rate in Deep Neural Networks using HJB equation
IITK_Motor_EEG
Motor Imagery EEG signal Classification on DWT
JointGazeNet
UofT_Internship
Online identification of the upper limb movements through analysis of EEG signals.
lokhande-vishnu's Repositories
lokhande-vishnu/IITK_Motor_EEG
Motor Imagery EEG signal Classification on DWT
lokhande-vishnu/deepcg
lokhande-vishnu/DeepHermites
lokhande-vishnu/IITK_Finalyear_project
Optimal Convergence Rate in Deep Neural Networks using HJB equation
lokhande-vishnu/FairALM
lokhande-vishnu/UofT_Internship
Online identification of the upper limb movements through analysis of EEG signals.
lokhande-vishnu/CS744-BigData-HWs
CS744: Big Data Systems homeworks, Fall 2017, Prof. Akella
lokhande-vishnu/EntityResolution
lokhande-vishnu/IITK_feature-selection
Identification of Good Features using statistical parameters
lokhande-vishnu/JointGazeNet
lokhande-vishnu/transfer-learning
lokhande-vishnu/UWM_OperatingSystem_courseprojects
lokhande-vishnu/AndroidTensorFlowMachineLearningExample
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
lokhande-vishnu/CatHarm
lokhande-vishnu/CS-638-Secure-Programming-Technique
lokhande-vishnu/cs838-data-science
Repository for CS 838 (Spring 2017) Data Science project
lokhande-vishnu/cs861_ALIS_algo
lokhande-vishnu/DatasetPooling
lokhande-vishnu/deepnets_on_mobile
lokhande-vishnu/demd
Efficient Computation of d-Dimensional Earth Mover's Distance
lokhande-vishnu/IITK_CS676A_ComputerVision_courseproject
Weakly Supervised Learning for Object Counting with Convolutional Neural Networks
lokhande-vishnu/IITK_daq
Wireless Data Acquisition for portable condition based monitoring
lokhande-vishnu/IITK_EE609A_ConvexOptmz
Optimisation in Face Recognition
lokhande-vishnu/MultisitePooling
lokhande-vishnu/SVM-and-regularization-effects
The purpose of this study is to visualise and see how changing the regularisation constant affects svm classification. SVM with linear kernel has been used.
lokhande-vishnu/tensorflow
Computation using data flow graphs for scalable machine learning