Arko98
Applied AI Researcher @FujitsuResearch | MTech AI, IIT Hyderadbad I Former Research Intern, IIT Patna
Fujitsu Research of IndiaIndia
Pinned Repositories
3D-LMNET-PointCloud-Reconstruction
Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
3D-Point-Cloud-Reconstruction-Pytorch
Pytorch code to construct a 3D point cloud model from single RGB image.
A-Deep-Learning-Approach-for-Automatic-Detection-of-Fake-News
Research Paper Published at ICON 2019, indexed in ACL Anthology by Tanik Saikh, Arkadipta De, Asif Ekbal, Pushpak Bhattacharyya
ai-lab
All-in-one AI container for rapid prototyping
Alogirthms
A collection of some of the most frequently used Algorithms in C++ and Python
Data-Structures
A collection of Python implementations of various data structures
Gradient-Descent-Algorithms
A collection of various gradient descent algorithms implemented in Python from scratch
Product_Purchase_Prediction
Prediction of purchase of Bank Product using Map Reduce Naive Bayes
Spam_SMS_Prediction
This project applies Natural Language Procesing with Deep Learning to classify Spam SMS
TALLIP-FakeNews-Dataset
Multilingual Fake News Dataset created for the research paper "A Transformer Based Approach to Multilingual Fake News Detection in Low Resource Languages" accepted at the ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP)
Arko98's Repositories
Arko98/GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Arko98/Attention-Visualization
Visualization for simple attention and Google's multi-head attention.
Arko98/hnatt
Train and visualize Hierarchical Attention Networks
Arko98/Matching-Networks-pytorch
Matching Networks for one shot learning
Arko98/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Arko98/TensorSlow
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability