Ongoing research training transformer language models at scale, including: BERT & GPT-2
Обновлено 2024-10-18 13:31:05 +03:00
BERT (Binary ERlang Term) serialization library for Ruby.
Обновлено 2024-09-05 18:04:50 +03:00
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
nlp
ml
ner
named-entity-recognition
entity-extraction
entity-linking
entity-resolution
grn
language-understanding
linkingpark
nlp-resources
unitrans
xl-ner
bertel
can-ner
cross-lingual-ner
entity-disambiguation
Обновлено 2024-03-16 09:53:11 +03:00
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Обновлено 2024-01-09 18:03:18 +03:00
Cybertruck demo in XAML with the Uno Platform
csharp
xamarin
xaml
uwp
mono
webassembly
winui
wasm
uno
uno-platform
cybertruck
first-timers-friendly
webassemby
Обновлено 2023-11-08 23:28:47 +03:00
End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
nlp
pytorch
azure-machine-learning
language-model
bert
tuning
finetuning
pretraining
azureml-bert
bert-model
pretrained-models
Обновлено 2023-06-12 21:59:00 +03:00
The implementation of DeBERTa
representation-learning
self-attention
deeplearning
bert
transformer-encoder
language-model
natural-language-understanding
roberta
Обновлено 2023-03-25 13:22:59 +03:00
Algorithms to find Bertrand Nash equilibria in pricing games
Обновлено 2022-11-28 22:12:35 +03:00
Datasets, tools, and benchmarks for representation learning of code.
machine-learning
deep-learning
data-science
ml
python
tensorflow
neural-networks
open-data
datasets
cnn
machine-learning-on-source-code
natural-language-processing
nlp
nlp-machine-learning
bert
programming-language-theory
representation-learning
rnn
self-attention
data
Обновлено 2022-01-31 12:25:07 +03:00
Обновлено 2021-03-05 10:11:58 +03:00
Ruby BERTRPC server based on Unicorn
Обновлено 2020-06-24 22:03:45 +03:00
Microsecond Arduino Code and Schematics accompanying the paper presented in IEEE VR 2020 "Measuring System Visual Latency through Cognitive Latency on Video See-Through AR devices" by Robert Gruen, Eyal Ofek, Antony Steed, Ran Gal, Mike Sinclair, and Mar Gonzalez-Franco
Обновлено 2020-03-26 19:39:27 +03:00