YerevaNN

mimic3-benchmarks

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

A-Guide-to-Deep-Learning

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

WARP

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

BARTSmiles

BARTSmiles, generative masked language model for molecular representations

ChemLactica

Fine-tuning Galactica and Gemma to operate on SMILES. Integrates into a molecular optimization algorithm.

BioRelEx

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

SciERC

A fork of https://bitbucket.org/luanyi/scierc/src

PARASITE

🪱 PARASITE || A parallel sentence data preprocessing toolkit. Originally developed as a part of the `en-ru` winner submission of WMT20 Biomedical Translation Task.

NLOS-Localization-WAIR-D

SSL-playground

zsee

Zero Shot Event Extraction - Making pretrained sentence encoders more multilingual and language-agnostic. Works best (at the moment) with YerevaNN's internal version of allennlp.

Molecular_Generation_with_GDB13

incontext_spurious

YNNtitan

A YerevaNNative PyTorch Library for large model training

allennlp

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

dom-gen-failure-modes

metaseq

Repo for external large-scale work

Outdoor-Environment-Reconstruction-WAIR-D

Repository of the paper Outdoor Environment Reconstruction with Deep Learning on Radio Propagation Paths

yarx

YARX - Yet Another Relation eXtraction framework, based on SciIE architecture and AllenNLP framework

BIG-bench

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

ChemLacticaTestSuite

datasets

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

fairseq

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

GLIP

Grounded Language-Image Pre-training

IndoorPathlossRadioMapPrediction

mae

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

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rs_foundation_models

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.