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annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

arbengvec

ArbEngVec is a Cross-lingual word embedding model project and this repository contains its variants

arbengvec-1

Arabic-English Cross-Lingual Word Embedding Model

bert

TensorFlow code and pre-trained models for BERT

centernet

Object detection, 3D detection, and pose estimation using center point detection:

cnn-dailymail

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)

conv-knrm

Convolutional Neural Networks for So-Matching N-Grams in Ad-hoc Search

cookbook

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

deep-listwise-context-model-for-ranking-refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

dissertation

Matteo Riondato's PhD dissertation

dl4marco-bert

effectivescala

Twitter's Effective Scala Guide

effectivetensorflow

TensorFlow tutorials and best practices.

embarrassingly-simple-zsl

This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot learning”, presented at ICML 2015.

emnlp2016

english-to-persian-text-translator

Simple English to Persian text translator written in Python and Pyside, using NLTK

flexneuart

Flexible classic and NeurAl Retrieval Toolkit

glove

GloVe model for distributed word representation

google-bert-on-fake_or_real-news-dataset

📚 Use Google BERT on fake_or_real news dataset with best f1 score: 0.986

icd9

Python library for hierarchy of ICD9 Codes

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

irgan

IRGAN SIGIR paper experimental code

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

loupe

Tensorflow toolbox implementing several learnable pooling architecture

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

models

Models and examples built with TensorFlow

msmarco-passage-ranking

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR

persianner

Named-Entity Recognition in Persian Language

plotneuralnet

Latex code for making neural networks diagrams