Pinned Repositories
CodellamaATP
Study on Codellama model for Automated Theorem Proving on Lean's dataset
CreditCardFraudDetection
An attempt to detect fraud in online transaction in deep neural network using pytorch
DoodleGan
This project tries to create new doodles using GAN. This project uses google's quick draw data set
HistogramComputation
Computing and plotting histogram from scratch in python
ImageClassification
Simple image classification using cosine similarity
ImageTransformations
Python programs for Negetive, Logarithmic and Powerlaw image transformations
NotHotDog
Remember silicon valley's seefood app? I trained a neural network binary classifier using tensorflow to recognize hot dog. Because.., why not?
NotHotDogCNN
NotHotDog using Convolutional Neural Network.It achieved about 79% accuracy with only 800 images.
Python--Candidate-Elimination-Algorithm
Problem : For a given set of training data examples stored in a .CSV file, implement and demonstrate the Candidate-Elimination algorithm to output a description of the set of all hypotheses consistent with the training examples.
ajayrao80's Repositories
ajayrao80/CreditCardFraudDetection
An attempt to detect fraud in online transaction in deep neural network using pytorch
ajayrao80/CodellamaATP
Study on Codellama model for Automated Theorem Proving on Lean's dataset
ajayrao80/DoodleGan
This project tries to create new doodles using GAN. This project uses google's quick draw data set
ajayrao80/HistogramComputation
Computing and plotting histogram from scratch in python
ajayrao80/ImageClassification
Simple image classification using cosine similarity
ajayrao80/ImageTransformations
Python programs for Negetive, Logarithmic and Powerlaw image transformations
ajayrao80/NotHotDog
Remember silicon valley's seefood app? I trained a neural network binary classifier using tensorflow to recognize hot dog. Because.., why not?
ajayrao80/NotHotDogCNN
NotHotDog using Convolutional Neural Network.It achieved about 79% accuracy with only 800 images.
ajayrao80/Python--Candidate-Elimination-Algorithm
Problem : For a given set of training data examples stored in a .CSV file, implement and demonstrate the Candidate-Elimination algorithm to output a description of the set of all hypotheses consistent with the training examples.