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research2vec

Upcoming project for representing research papers as vectors / latent representations. More coming soon

retrieval-2017-cam

Class-Weighted Convolutional Features for Image Retrieval

retrieval-regionalattention

Code for 'Regional Attention Based Deep Feature for Image Retrieval (BMVC 2018)' https://sglab.kaist.ac.kr/RegionalAttention/

reverse-engineering

A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit ARM & 64-bit ARM architectures.

rubi.bootstrap.pytorch

RUBi : Reducing Unimodal Biases for Visual Question Answering

rude-carnie

Age/Gender detection in Tensorflow

scibert

A BERT model for scientific text.

scientific-paper-summarisation

Machine learning models to automatically summarise scientific papers

scikit-learn-beginners-tutorials

Abridged implementation of the official scikit-learn beginner tutorials

scipy-2017-sklearn

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

screenshot-to-code-in-keras

A neural network that transforms a screenshot into a static website

seesawfacenet_pytorch

offical seesawfacenet pytorch implement, https://arxiv.org/abs/1908.09124

semantic-search

Semantic search for images and words using neural networks.

sentimental-analysis-of-reviews-of-products-using-nltk-python

seq2seq-vis

Visualization for Sequential Neural Networks with Attention

seq2seqdataaugmentationforlu

This repo is code for the COLING 2018 paper: Sequence-to-sequence Data Augmentation for Dialogue Language Understanding.

shoes_siamese

siamese network for shoe similarity

sigploit

SigPloit: Telecom Signaling Exploitation Framework - SS7, GTP, Diameter & SIP

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

sis

Simple image search engine

skater

Python Library for Model Interpretation

sklearn_tutorial

Materials for my scikit-learn tutorial

slowfast

Present SlowFast networks for video recognition.

small-talk-rasa-stack

Collection of casual conversations that can be used with the Rasa Stack

smart-traffic-signals-in-india-using-deep-reinforcement-learning-and-advanced-computer-vision

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

smrctoolkit

This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

software-design

Learn and apply Program and function design

solvingalmostanythingwithbert

BioBert Pytorch

spinningup

An educational resource to help anyone learn deep reinforcement learning.

squad-transformer

RNN-free TensorFlow model for reading comprehension on SQuAD