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cifar10_cnn_mlp

In this project I worked to implement fully-connected (MLP) and Convolutional Neural Networks (CNN) image classifier on CIFAR10 dataset. In this task, you only need to perform multi-class classification. Details of these models could be found in lecture 11 slides. We provide a skeleton code for data loading and iterations of training data. You are asked to implement the rest of training in Pytorch code. Detailed submission requirements are written in the final section.

clustering

K-means clustering is a simple and popular clustering algorithm

computervision

Best Practices, code samples, and documentation for Computer Vision.

dlaicourse

Notebooks for learning deep learning

dyanmics365-demandplanning-customml

"A demand forecasting model with boilerplate scripts for integration with Dynamics 365 Demand Planning Solutoin

myproject

pytorch-classification

Logistics Regression and Support Vector Machine using PyTorch

recommendersystems

Collaborative Filtering - Recommender Systems

reinforcement_learning

textclassification

Classification Analysis on Textual Data

twitterprediction

Prediction on Twitter data (Superbowl 49, 2015)