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albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

dag_vector

direct accessible compressed vector

deep-learning-from-scratch-2

『ゼロから作る Deep Learning ❷』読書会でみんなで実装するDeep Learning

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

due-benchmark

The code related to the baselines from NeurIPS 2021 paper "DUE: End-to-End Document Understanding Benchmark."

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fastseq

An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf

googletest

Google Test

japagen

json11

A tiny JSON library for C++11.

jubatus-ruby-client

Jubatus client for Ruby

lencon

Implementation of "Controlling Output Length in Neural Encoder-Decoders"

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

megatron-lm

Ongoing research training transformer models at scale

mlflow-export-import

mln-postagger

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

neural_topic_models

Implementation of topic models based on neural network approaches.

pficommon

General purpose C++ library for PFI

phsic

Compute co-occurrence strength between sentences with short learning time

python_stm

quakememe

QuakeMeme

retrieva-cop

RuboCop configration gem for Retrieva, Inc.

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

simpletransformers

Transformers made simple with training, evaluation, and prediction possible with one line each. Currently supports Sequence Classification (binary, multiclass, multilabel), Token Classification (NER), and Question Answering. Built on top of the Hugging Face Transformer library.

t5x

tech_blog_1912

2019年12月の技術ブログに掲載したコード

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.