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Satya Kumar Vadlamani's Projects

adamw-and-sgdw icon adamw-and-sgdw

keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)

automatic-local-outlier-factor-tuning icon 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.

disentangling-vae icon disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

kalman-and-bayesian-filters-in-python icon 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 icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

mmpose icon mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

notion-eeg icon notion-eeg

EEG data processing and projects with the Neurosity Notion 2

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