takuma1229

takuma1229's Stars

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9.2k8536858

• smithy-lang/smithy

  Smithy is a protocol-agnostic interface definition language and set of tools for generating clients, servers, and documentation for any programming language.

  Language:Java1.8k28459213

• time-rs/time

  The most used Rust library for date and time handling.

  Language:Rust1.1k19382280

• taku910/mecab

  Yet another Japanese morphological analyzer

  Language:C++9354344214

• mewz-project/mewz

  A unikernel designed specifically for running Wasm applications and compatible with WASI

  Language:Zig53461116

• swansonk14/typed-argument-parser

  Typed argument parser for Python

  Language:Python506710240

• jwzhanggy/Graph-Bert

  Source code of Graph-Bert

  Language:Python482102485

• yuhaozhang/tacred-relation

  PyTorch implementation of the position-aware attention model for relation extraction

  Language:Python356132197

• fnwiya/japanese-rust-companies

  日本で Rust を利用している会社一覧

  29623431

• mozilla-japan/translation

  Mozilla 関連のドキュメント翻訳リクエストとステータス管理

  Language:JavaScript2195176213

• yaushian/Tree-Transformer

  Implementation of the paper Tree Transformer

  Language:Python21161435

• erickrf/treernn

  Recurrent Neural Networks with tree structure in Tensorflow

  Language:Python1236127

• wpcodevo/rust-axum-jwt-auth

  Are you interested in building a secure authentication system for your Rust web application? Look no further than the Axum framework and JSON Web Tokens (JWTs)! Axum is a fast and scalable Rust web framework that provides a reliable and efficient platform for developing microservices and APIs.

  Language:Rust1142211

• 1never/open2ch-dialogue-corpus

  おーぷん2ちゃんねるをクロールして作成した対話コーパス

  Language:Python93302

• joisino/wordtour

  Code for "Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem" (NAACL 2022)

  Language:Python92204

• DevSinghSachan/syntax-augmented-bert

  Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)

  Language:Python723510

• 17385/TreeBERT

  Language:Python483811

• jqk09a/japanese-daily-dialogue

  46116

• junya-takayama/DIRECT

  DIRECT: Direct and Indirect REsponses in Conversational Text Corpus

  16100

• k-nasa/rust-async-book

  「Rust で学ぶ非同期処理ランタイム」のリポジトリ

  Language:Ruby9411

• riken-grp/LookVQA

  Dataset for the LREC-COLING 2024 paper "A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions"

  8200

• GChrysostomou/tasc

  Language:Python5304

• nttcslab/japanese-long-term-chat

  530

• Akhila-Yerukola/generative-intention-resolution

  3100

• Alab-NII/dynamic-onecommon

  Language:Python3600

• cl-tohoku/JAOJ

  Japanese Argument Omission Judgement

  330

• MATOBAD/bert_visualize

  BERTのself-attentionの可視化

  Language:Python2200

• michirakara/mchain

  functional language & interpreter

  Language:Python2100

• uddie/phd-thesis

  Language:TeX2100

• kmineshima/JDTB-logic

  Japanese Discourse Relation Treebank focusing on Concessive Inferences

  1200