girishponkiya Goto Github PK

akshar

Free, Open Source Gujarati Language Characters Small Dataset For Deep Learning

awesome-resources-for-indic-nlp

betterbib

Update BibTeX files with info from online resources.

brach-and-bound

Implementation of branch-and-bound algorithm, which is generally used for feature selection in pattern recognition. This is my assign#4 of subject Pattern Recognition and Image Processing

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

compounding

conceptnet5

Code for building ConceptNet from raw data.

data-analysis-using-python_self

data-science--cheat-sheet

Cheat Sheets

digitrecognition

Digit recognition with neural network

drqa

Reading Wikipedia to Answer Open-Domain Questions

eacl2017-oodframenetsrl

Implementation of a simple frame identification approach (SimpleFrameId) described in the paper "Out-of-domain FrameNet Semantic Role Labeling"

framenet-tools

Annotate text with FrameNet frames and arguments.

fun-nom

This repository makes available the source code of the neural classification models used in Fares et al. (2018) and the noun–noun compounds dataset by Fares (2016).

girishponkiya.github.io

My Homepage

github-markdown-toc

Easy TOC creation for GitHub README.md

gujerrati

Gujarati Error Analysis Tool i

hebel

GPU-Accelerated Deep Learning Library in Python

iepy

Information Extraction in Python

incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

keras_lr_finder

Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.

milk

MILK: Machine Learning Toolkit

mwp

Hindi mathematical word problem solver

neuralnetworks

java deep learning algorithms and deep neural networks with gpu acceleration

nlp---spacy

openke

An Open-Source Package for Knowledge Embedding (KE)

panic

PANiC - PAraphrasing Noun-Compounds

paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

pgmpy.github.io

Sphinx docs for pgmpy

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.