Pinned Repositories
openai-samples
Samples for working with Azure OpenAI Service
CADA
Attending to Discriminative Certainty for Domain Adaptation
AdaptSegNet
Bidirectional-Attention-Flow-for-Machine-Comprehension
Machine Comprehension using Squad and Triviqa Data sets
civic_issue_dataset
Civic Issue Detection Dataset from Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
KCFpy-with-conv-nets
Python implementation of KCF tracking algorithm with Convolutional Networks in Theano and Caffe
ml_HR
Programming Club IIT Kanpur Summer Project
QALearn
Comprehension Task on PDFs using BiDaf
Relation-Classification-using-Bidirectional-LSTM-Tree
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
Sshanu's Repositories
Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
Sshanu/Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
Sshanu/Bidirectional-Attention-Flow-for-Machine-Comprehension
Machine Comprehension using Squad and Triviqa Data sets
Sshanu/ml_HR
Programming Club IIT Kanpur Summer Project
Sshanu/QALearn
Comprehension Task on PDFs using BiDaf
Sshanu/civic_issue_dataset
Civic Issue Detection Dataset from Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
Sshanu/AdaptSegNet
Sshanu/EE671
codes for course neural networks
Sshanu/Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Sshanu/sshanu.github.io
Sshanu/tablet-recognition
Sshanu/blog
Notepad is a Jekyll theme which is very simple, clean and beautiful
Sshanu/blog-1
Sshanu/cmfrec
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
Sshanu/Data-Mining-of-Civic-Issues
Sshanu/DiscriminatorDomainAdaptation
Sshanu/inventory
Sshanu/neural-motifs
Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
Sshanu/nn
Sshanu/norwegian-wordlist
A Norwegian wordlist
Sshanu/old_sshanu.github.io
Sshanu/product_classification
Sshanu/pytorch-adda
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
Sshanu/pytorch-domain-adaptation
A collection of implementations of adversarial domain adaptation algorithms
Sshanu/QuestionGeneration
Sshanu/scene-graph-TF-release
"Scene Graph Generation by Iterative Message Passing" code repository
Sshanu/semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch
Sshanu/torch-toolbox
A collection of snippets and libraries for Torch from e-Lab
Sshanu/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Sshanu/Unsupervised-Machine-Translation-using-Structured-Latent-Space
Code inspired by Unsupervised Machine Translation Using Monolingual Corpora Only