yerevann Goto Github PK

a-guide-to-deep-learning

📚 A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/

allennlp

YerevaNN's internal branches for AllenNLP - An open-source NLP research library, built on PyTorch.

amr_as_graph_prediction

amr_seq2seq

armtreebank

Armenian Treebank http://armtreebank.yerevann.com/

bartsmiles

BARTSmiles, generative masked language model for molecular representations

big-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

bioer

Biological entity recognition

biorelex

🧬 BioRelEx: Biological Relation Extraction Benchmark @ ACL BioNLP Workshop 2019

biorelex-codalab-submission

Sample baseline submission for BioRelEx codalab competition.

caffe-python-tools

Some tools written in Python to work with Caffe

char-rnn-constitution

cleverhans

A library for benchmarking vulnerability to adversarial examples

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deephack.babel

YerevaNN @ DeepHack.Babel

diin-in-keras

Reproducing Densely Interactive Inference Network in Keras

dmn-docker

Dockerfile for starting DMN with UI

dmn-ui

UI for Dynamic Memory Networks

docker-cudnn-theano

Docker image for Theano with Ubuntu 16.04 + CUDA 8.0 + cuDNN 7

dom-gen-failure-modes

dynamic-memory-networks-in-theano

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

glip

Grounded Language-Image Pre-training

hyper-language-identification

jointud

🚬 JointUD - Universal Dependencies | Part-of-Speech tagging, Morphological parsing and Lemmatization

kaggle-diabetic-retinopathy-detection

Scripts used in Kaggle Diabetic retionpathy detection contest by YerevaNN team

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

metaseq

Repo for external large-scale work

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.