Pinned Repositories
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
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.
Deep-Learning-Tricks
Enumerate diverse machine learning training tricks.
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
ganhacks
starter from "How to Train a GAN?" at NIPS2016
ImageNet-parsing-Python
Python class to explore the ImageNet database
instalox.github.io
Notion-EEG
EEG data processing and projects with the Neurosity Notion 2
vsatyakumar's Repositories
vsatyakumar/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.
vsatyakumar/Dashcam-Speed-Predictor-Keras
Keras implementation of a LCRN (CNN+LSTM) based Speed Predictor from Dashcam video data.
vsatyakumar/AdamW-and-SGDW
keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)
vsatyakumar/Deep-Learning-Tricks
Enumerate diverse machine learning training tricks.
vsatyakumar/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
vsatyakumar/ganhacks
starter from "How to Train a GAN?" at NIPS2016
vsatyakumar/ImageNet-parsing-Python
Python class to explore the ImageNet database
vsatyakumar/instalox.github.io
vsatyakumar/Notion-EEG
EEG data processing and projects with the Neurosity Notion 2
vsatyakumar/KaggleFisheries
vsatyakumar/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.
vsatyakumar/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
vsatyakumar/keras-contrib
Keras community contributions
vsatyakumar/keras-iaf-mnist
Implementation of Inverse Autoregressive Flows with Keras
vsatyakumar/keras-squeezenet
SqueezeNet implementation with Keras Framework
vsatyakumar/Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
vsatyakumar/mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
vsatyakumar/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.
vsatyakumar/rps-automata
vsatyakumar/Test
Testing