Satya Kumar Vadlamani's repositories
automatic-local-outlier-factor-tuning
Python implementation of the local outlier factor tuning algorithm described in “Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection.”, Z. Xu, D. Kakde, and A. Chaudhuri - 2019 IEEE International Conference on Big Data (Big Data), 2019.
Dashcam-Speed-Predictor-Keras
Keras implementation of a LCRN (CNN+LSTM) based Speed Predictor from Dashcam video data.
AdamW-and-SGDW
keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)
Deep-Learning-Tricks
Enumerate diverse machine learning training tricks.
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
ImageNet-parsing-Python
Python class to explore the ImageNet database
Notion-EEG
EEG data processing and projects with the Neurosity Notion 2
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
keras-contrib
Keras community contributions
keras-iaf-mnist
Implementation of Inverse Autoregressive Flows with Keras
keras-squeezenet
SqueezeNet implementation with Keras Framework
Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Quaternion-Convolutional-Neural-Networks-for-End-to-End-Automatic-Speech-Recognition
This is the code for the paper 'Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition'. It provides all the Keras classes to run a Quaternion Convolutional NN.
Test
Testing