Vikas Raunak's repositories
text-classification-wv
Text Classification Using Word Vectors.
bpemb
Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
concreteness
Concreteness
DAVEnet-pytorch
Deep Audio-Visual Embedding network (DAVEnet) implementation in PyTorch
DDPAE-video-prediction
Learning to Decompose and Disentangle Representations for Video Prediction, NIPS 2018
end-to-end-negotiator
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
InterpretationFragility
Interpretation of Neural Network is Fragile
Mens-Tennis-Rank-vs-Points
Ranks vs Points plot, Points Density, Age Distribution of Top 100 Tennis Players.
MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
naacl18tutorial
NAACL 2018 Tutorial: Modelling Natural Language, Programs, and their Intersection
nonauto-nmt
PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"
OTML_DS3_2018
Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch-SkipGram
Implementing Skip-gram Negative Sampling with pytorch
Pytorch_C3D_Feature_Extractor
Pytorch C3D feature extractor
SCDV
Text classification with Sparse Composite Document Vectors.
SentEval
A python tool for evaluating the quality of sentence embeddings.
Seq2Sick
Adversarial examples for Seq2Seq model in NLP
SincNet
SincNet is a neural architecture for efficiently processing raw audio samples.
SPM_toolkit
Neural network toolkit for sentence pair modeling.
truecaser
Language independent truecaser in Python.
TSA
Time Series Anomaly Detection Toolkit
vmf_vae_nlp
Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
VSE-C
Implementation of our paper "Learning Visually-Grounded Semantics from Contrastive Adversarial Samples" at COLING 2018.
vsepp
PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
WER-in-python
This program calculates the word error rate of hypothesis in ASR and print the aligned result.
word-embedding-dimensionality-selection
On the Dimensionality of Word Embedding, NIPS 2018
word2gm
Word to Gaussian Mixture Model