nikhil-iyer-97 Goto Github PK

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

candidate-elimination-implementation

Candidate elimination algorithm implementation to generate specific and general boundaries given the dataset.

char-cnn-text-classification-pytorch

Character-level Convolutional Neural Networks for text classification in PyTorch

comp-geom

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

decision-tree-implementation

Decision tree implementation in C++ to classify and predict salary of people using ID3 and C4.5 algorithms

deeplearning-nlp

Introduction to Deep Learning for Natural Language Processing

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

deeplearningexamples

Deep Learning Examples

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fp-tree-implementation

Association rule generation using FP Growth algorithm

hash-tree-implementation

Hash tree implementation in C++ to generate frequent itemsets and association rules using apriori algorithm

hits-algorithm-implementation

Implementation of HITS algorithm for finding hub and authority scores for twitter users

kaggle-contests

Repository created for implementing code to compete in Kaggle competitions

language-identifier

Language identification toolkit for identifying what language a document is writen in

learning-deep-learning

My practical approach to learning Neural Network concepts

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (Cambridge University Press).

ml-projects

A repo created for the sole purpose of implementing ML algorithms in python and understand its application in real world scenarios.

mrpc-classification

mrqa-shared-task-2019

Resources for the MRQA 2019 Shared Task

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

naive-bayes-implementation

Sentiment analysis for movie reviews using naive bayes classifier

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nikhil-iyer-97.github.io

practical-torchtext

A set of tutorials for torchtext

practical_nlp_in_pytorch

A repository containing tutorials for practical NLP using PyTorch

predict-the-happiness

A binary classification problem based on costumer reviews

pytorch-rl

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

recommender-system

Usage of various techniques such as Collaborative filtering, SVD and CUR-decomposition to predict movie ratings and recommend movies