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channel-distillation

PyTorch implementation for Channel Distillation

color-quantization-and-connected-component-analysis

Implementation of color quantization using k-means and connected components analysis algorithms from scratch

deep-learning-for-har

Different experiments to understand the impact of attention for Human Activity Recognition (HAR) purpose

deepconvlstm

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

deepsense

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

expectation-maximization-for-gaussian-mixture-model-from-scratch

Expectation-Maximization (EM) algorithm for Gaussian mixture model (GMM) from scratch

glass-data-participant-detection

homography-and-image-stitching-from-scratch

Implemention of a python program which can stitch input images together to create a single panoramic image, called blended image

human_activity_recognition

Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-based wearable devices

imdb-movie-classification

A simple movie classifier (good-bad) implementation using IMDB movie data

logistic-regression-from-scratch

Implementation of logistic regression from scratch using stochastic gradient descent (SGD) algorithm

next-word-prediction-using-mlp-from-scratch

Implementation of a simple neural language model (multi-layer perceptron) from scratch for next word prediction

object-classification-cifar10-tensorflow

Implementation of a 3-layer CNN for object classification using tensorflow library

performance-analysis-of-biometric-system

Analysis of a biometric system's verification performance using similarity matrices

sumeyye-agac

variational-autoencoder-mnist-tensorflow

Implementation of VAE where the encoder is an LSTM and the decoder is a CNN