Ravi Tej Akella Akella17

Pinned

1. Disentangled_Representation_Learning

   To learn and reason like humans, AI must first learn to factorise interpretable representations of independent data generative factors (preferably in an unsupervised manner!!). What does all this m…

   Jupyter Notebook 4

2. Handwriting_Synthesis

   This work attempts to generate sequences of handwritten sentences using LSTM network and Mixture Model (Based on the work : https://arxiv.org/pdf/1308.0850.pdf by Alex Graves)

   Jupyter Notebook 1

3. EnhanceNet

   Achieves realistic textures by using automated texture synthesis in combination with a perceptual loss rather than focusing on optimizing for a pixel accurate reproduction of ground truth images du…

   Jupyter Notebook 3

4. speaker-embedding

   Forked from andabi/voice-vector

   A deep neural network for finding text-independent speaker embedding written in tensorflow and tensorpack

   Python 4 3

5. Speaker-Recognition

   TensorFlow implementation of a 3 Layer Stacked LSTM architecture to classify speakers in VCC (2016) dataset.

   Jupyter Notebook 1

6. Language_Identification

   This is an implementation of a character-level LSTM network for language identification. Inspired from Stanford Language Identification Engine(SLIDE) : https://arxiv.org/abs/1701.03682

   Jupyter Notebook