Gaurav's repositories
multimodal-speech-emotion-recognition
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
ebm-sanskrit-word-segmentation
Python implementation of "Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit," EMNLP 2018
MSCI-tutorials
Code for tutorials conducted in MSCI 641 (Text Analytics) @ Uwaterloo
misc-fun-acts
Home to all the miscellaneous code I wrote meant for fun or just for fun.
cs116-tut-solns
Solution to CS116 Tutorial Questions @ UWaterloo
demfier.github.io
My personal web-space
prepare-switchboard
Updated swda class for preparing switchboard dataset for NLP tasks
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
biking-bliss
App to promote biking (Kreative Koalas' submission for Technovation Challenge 2019)
cmusphinx_training
Repo for cmusphinx activities
forTheFirstTime
All the setup I need to do on a fresh Ubuntu install
idx2numpy_array
Convert data in IDX format in MNIST Dataset to Numpy Array using Python
kaldi-io-for-python
Python functions for reading kaldi data formats. Useful for rapid prototyping with python.
linguistic-style-transfer
Neural network parametrized objective to disentangle and transfer style and content in text
mais-latex
LaTeX template for the Montreal AI Symposium
nihongo-sensei
A tool to help with my Japanese practice
pytorch-tutorials
PyTorch tutorials for NLP
pytorch_parallel
Learning parallelization in PyTorch
reading-list
List of articles to read
serving
A flexible, high-performance serving system for machine learning models
tf-var-attention
Variational Attention for Sequence to Sequence Models