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awesome-hacking

A collection of various awesome lists for hackers, pentesters and security researchers

btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

clrs

📚 Solutions to Introduction to Algorithms Third Edition

corner

Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation

cs-7643-deep-learning

Code for assignments of the graduate course CS 7643: Deep Learning offered at Georgia Tech in Fall 2018.

cs7643

Deep Learning (Graduate Course @ Georgia Tech)

cs7643-deeplearning

CS7643-DeepLearning

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-learning

dl_fall2019

Deep learning course solutions fall 2019 class

drqa

Reading Wikipedia to Answer Open-Domain Questions

karthik.guru

laid

Lipman's Artificial Intelligence Directory

learn_python_libraries

Exploring most useful libraries of Python. Each notebook covers basic and advanced functionalities of a python library.

lime

Lime: Explaining the predictions of any machine learning classifier

ln2sql

A tool to query a database in natural language

ln2sqlmodule

ln2sql as a python package

machine_learning_examples

A collection of machine learning examples and tutorials.

nakedobjectsframework

Implementation of the 'naked objects pattern' on .NET platform. Turns a POCO domain model (that follows a few simple conventions) into a complete application. See the ReadMe (at the bottom of this page) for more details.

ner-lstm

Named Entity Recognition using multilayered bidirectional LSTM

pan.pytorch

A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

quantdesk

Automatically exported from code.google.com/p/quantdesk

quepy

A python framework to transform natural language questions to queries in a database query language.

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

techkarthiks.github.io

textrank

Python implementation of TextRank algorithm (https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf) for automatic keyword extraction and summarization using Levenshtein distance as relation between text units.