Stars
🤖 A Python library for learning and evaluating knowledge graph embeddings
👋 Overcomplete is a Vision-based SAE Toolbox
Exca - Execution and caching tool for python
Official implementation of "GPT or BERT: why not both?"
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
A JAX research toolkit for building, editing, and visualizing neural networks.
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
The nnsight package enables interpreting and manipulating the internals of deep learned models.
tree is a library for working with nested data structures
Home repository for the ACORN dataset: 3,500 explanations with aspect-wise human ratings of their quality.
A byte-level decoder architecture that matches the performance of tokenized Transformers.
Analyzing Cognitive Plausibility of Subword Tokenization
A comprehensive benchmark for entity disambiguation
Are foundation LMs multilingual knowledge bases? (EMNLP 2023)
The hub for EleutherAI's work on interpretability and learning dynamics
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
GLADIS: A General and Large Acronym Disambiguation Benchmark (EACL 23)
Evaluating German T5 Models on GermEval 2014 (NER)
A playbook for systematically maximizing the performance of deep learning models.
ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Custom…
Cross-stitch bi-encoder for distantly supervised relation extraction (EMNLP 2022)
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
Zoomable, animated scatterplots in the browser that scales over a billion points
CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia