Aditya Jain
Aditya Jain
Reinforcement-Learning-Coursera-Solutions
This is repository to maintain all solutions of Reinforcement learning course on coursera by University of Alberta and Alberta Machine Learning Institute.
brain-tumor-segmentation-unet
Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.
Face-Recognition-Siamese-Network
A Face Recognition Siamese Network implemented using Keras. Siamese Network is used for one shot learning which do not require extensive training samples for image recognition.
MLfromScratch
Library for machine learning where all algorithms are implemented from scratch. Used only numpy.
SVM-From-Scratch
An Implementation of SVM - Support Vector Machines using Linear Kernel. This is just for understanding of SVM and its algorithm.
Al-Algos-from-Scratch
Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes.
FaceGAN-Generating-Random-Faces
Generate Random Faces which do not exists. I trained a Deep Convolution GAN (DCGAN) on 100k celebrities photos.
image-caption-bot
Implementation of 'merge' architecture for generating image captions from paper "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?" using Keras. Dataset used is Flick...