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adaptationseg

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

characterizing

Characterizing user decision based on argumentative reviews

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

dagitik

deep-learning-for-human-activity-recognition

deep-learning-with-python

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

face_recognition

The world's simplest facial recognition api for Python and the command line

federated-biomedical-informatics

Python scripts for stress detection by using traditional deep learning methods and privacy preserving federated deep learning approach.

human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

pycda

Code for Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)