matt-peters/allennlp
An open-source NLP research library, built on PyTorch.
Cofounder and Chief Architect at Envive AI. Former Research Scientist at AI2 exploring LLMs.
Repositories
matt-peters/direct-preference-optimization
Reference implementation for DPO (Direct Preference Optimization)
matt-peters/flex
Few-shot NLP benchmark for unified, rigorous eval
matt-peters/qless-py
Python Bindings for qless
matt-peters/qless
Queue / Pipeline Management
matt-peters/datasets
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
matt-peters/LM-BFF
matt-peters/text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
matt-peters/allennlp-models
Officially supported AllenNLP models
matt-peters/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
matt-peters/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
matt-peters/transformers
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
matt-peters/tensorboard_logger
Log TensorBoard events without touching TensorFlow
matt-peters/detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
matt-peters/sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
matt-peters/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
matt-peters/jiant
The jiant sentence representation learning toolkit
matt-peters/bert
TensorFlow code and pre-trained models for BERT
matt-peters/matt-peters.github.io
matt-peters/document-qa
matt-peters/text
Data loaders and abstractions for text and NLP
matt-peters/deep_qa
Using deep learning to answer Aristo's science questions
matt-peters/qdr
Query-Document Relevance
matt-peters/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.