Popular repositories Loading
-
OSIC-Pulmonary-Fibrosis-Progression-Predict-lung-function-decline
OSIC-Pulmonary-Fibrosis-Progression-Predict-lung-function-decline PublicIn this competition, we’ll predict a patient’s severity of decline in lung function based on a CT scan of their lungs. We’ll determine lung function based on output from a spirometer, which measure…
-
Generative-Adverserial-Networks-in-PyTorch-for-1D-images
Generative-Adverserial-Networks-in-PyTorch-for-1D-images PublicDeep neural networks are used mainly for supervised learning: classification or regression. Generative Adverserial Networks or GANs, however, use neural networks for a very different purpose: Gener…
-
Linear-Regression-using-PyTorch
Linear-Regression-using-PyTorch PublicThe learning part of linear regression is to figure out a set of weights w11, w12,... w23, b1 & b2 by looking at the training data, to make accurate predictions for new data (i.e. to predict the yi…
Jupyter Notebook 3
-
Classifying-One-Dimensional-Images-PyTorch
Classifying-One-Dimensional-Images-PyTorch Public template# Image Classification using Logistic Regression in PyTorch
Jupyter Notebook 1
-
Hyperparameter-Optimization
Hyperparameter-Optimization PublicModels can have many hyperparameters and finding the best combination of parameters can be treated as a search problem and the best technique to find the same is called hyperparameter tuning
Jupyter Notebook 1
-
Whashing_machine_Embedded_C
Whashing_machine_Embedded_C PublicClothes washer technology developed as a way to reduce the manual labor spent, providing an open basin or sealed container with paddles or fingers to automatically agitate the clothing. The earlies…
0 contributions in the last year
Day of Week | April Apr | May May | June Jun | July Jul | August Aug | September Sep | October Oct | November Nov | December Dec | January Jan | February Feb | March Mar | April Apr | ||||||||||||||||||||||||||||||||||||||||
Sunday Sun | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Monday Mon | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Tuesday Tue | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Wednesday Wed | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Thursday Thu | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Friday Fri | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Saturday Sat |