shantanuj

2002MovieBookingSystem

api_ner

API for Tensorflow model in Flask

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Fake_Net

Framework to detect and analyze fake news

Fine_Grained_Sen_Extraction

Domain adaptation techniques for fine grained sentiment extraction models (in TensorFlow)

FineGrainedExtraction

Experiments in fine grained opinion and aspect extraction. Domain adaptation techniques included.

Imitating-primate-infant-visual-development-CNNs

Official pytorch code for paper "What do CNNs gain by imitating the visual development of primate infants?"

Neuron_level_nnets

OOP neuron focused neural networks (bare bone numpy implementation)

TC-LSTM-LeftRight-

TC-LSTM implementation in Keras

TDAM_Top_down_attention_module

Official PyTorch implementation of "TDAM: Top-down attention module for CNNs"

shantanuj/TDAM_Top_down_attention_module

Official PyTorch implementation of "TDAM: Top-down attention module for CNNs"

shantanuj/FineGrainedExtraction

Experiments in fine grained opinion and aspect extraction. Domain adaptation techniques included.

shantanuj/shantanuj.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

shantanuj/api_ner

API for Tensorflow model in Flask

shantanuj/basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

shantanuj/Fake_Net

Framework to detect and analyze fake news

shantanuj/Fine_Grained_Sen_Extraction

Domain adaptation techniques for fine grained sentiment extraction models (in TensorFlow)

shantanuj/Imitating-primate-infant-visual-development-CNNs

Official pytorch code for paper "What do CNNs gain by imitating the visual development of primate infants?"

shantanuj/Neuron_level_nnets

OOP neuron focused neural networks (bare bone numpy implementation)

shantanuj/CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

shantanuj/cove

shantanuj/deep-learning-1

Repo for the Deep Learning Nanodegree Foundations program.

shantanuj/DFL-CNN

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

shantanuj/DrQA

Reading Wikipedia to Answer Open-Domain Questions

shantanuj/DSP

shantanuj/fastText

Library for fast text representation and classification.

shantanuj/fnc-1

shantanuj/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

shantanuj/ImageRec

shantanuj/instagram-profilecrawl

📝 quickly crawl the information (e.g. followers, tags etc...) of an instagram profile.

shantanuj/interactive-coding-challenges

Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

shantanuj/IPRM_Iterative_and_Parallel_Reasoning_Mechanism

shantanuj/kt_json2html

Java util to generate survey questions for kindtype mturk HIT

shantanuj/q_similarity

shantanuj/restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

shantanuj/sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

shantanuj/socialsent

Code and data for inducing domain-specific sentiment lexicons.

shantanuj/Subgraph2vec

shantanuj/theano_sparse_autoencoder

Code for implementing a sparse autoencoder in Theano. Some experiments in reconstructing noisy and/or rotated MNIST data

shantanuj/vision

Datasets, Transforms and Models specific to Computer Vision