Naveen Venkat's repositories
pytorch_boiler
A minimalistic boiler plate code for training pytorch models
ethnicity-detection-v1
Comparing the effectiveness of Deep Convolutional Neural Networks for detecting ethnicity of a person in face images
deepgaze
NOTE: This is a modified version of DeepGaze, originally created by mpatacchiola - https://github.com/mpatacchiola/deepgaze. Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
curse-of-dimensionality
Code for the paper, "The Curse of Dimensionality: Inside Out", DOI = 10.13140/RG.2.2.29631.36006.
predicting-compre-grades
Comparing machine learning models in grade prediction in a course in BITS Pilani
ANC-data-mining
Improving sales of All Night Canteen of BITS Pilani using Association Rule Mining. We introduce combo offers and implement a dynamic pricing scheme to increase sales, and hence profits by 5% without much penalty.
bayesian-network
Probabilistic Inference using Bayesian Networks for a Hypothetical Real World scenario
bci-eye-detection
Detecting state of eye (closed / open) using Machine Learning in Brain Computer Interface
cifar10_challenge
A challenge to explore adversarial robustness of neural networks on CIFAR10.
connect-3-game-ai
Connect 3 Game Playing AI Agent
deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
disastertweet
Comparing Learning-Based and Matching-Based Methods for Identifying Disaster Related Tweets
DLCV-PyTorch
DS265 - DLCV : PyTorch Tutorial Colab Notebook
mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
multivariate-sampling
A simple utility to perform sampling from multivariate distributions (supported by a PyTorch backend)
neuralNetworks
Visualization of neural networks
platformer_ai
A simple AI bot to play a 2D platformer game
pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications