Wrangl
Ray-based parallel data preprocessing for NLP and ML.
pip install wrangl
# for latest
pip install git+https://github.com/vzhong/wrangl
See examples for usage.
Ray-based parallel data preprocessing for NLP and ML.
Overview
Owner
Victor Zhong
I am a PhD student at the University of Washington. Formerly Salesforce Research / MetaMind, @stanfordnlp, and ECE at UToronto.
STT for TorchScript is a port of Coqui STT based on DeepSpeech to PyTorch.
st3 STT for TorchScript is a port of Coqui STT based on DeepSpeech to PyTorch. Currently it supports converting pbmm models to pt scripts with integra
8 Oct 18, 2021
edge-SR: Super-Resolution For The Masses
edge-SR: Super Resolution For The Masses Citation Pablo Navarrete Michelini, Yunhua Lu and Xingqun Jiang. "edge-SR: Super-Resolution For The Masses",
40 Nov 10, 2022
CJK computer science terms comparison / 中日韓電腦科學術語對照 / 日中韓のコンピュータ科学の用語対照 / 한·중·일 전산학 용어 대조
CJK computer science terms comparison This repository contains the source code of the website. You can see the website from the following link: Englis
88 Dec 23, 2022
open-information-extraction-system, build open-knowledge-graph(SPO, subject-predicate-object) by pyltp(version==3.4.0)
中文开放信息抽取系统, open-information-extraction-system, build open-knowledge-graph(SPO, subject-predicate-object) by pyltp(version==3.4.0)
7 Nov 02, 2022
kochat
Kochat 챗봇 빌더는 성에 안차고, 자신만의 딥러닝 챗봇 애플리케이션을 만드시고 싶으신가요? Kochat을 이용하면 손쉽게 자신만의 딥러닝 챗봇 애플리케이션을 빌드할 수 있습니다. # 1. 데이터셋 객체 생성 dataset = Dataset(ood=True) #
1 Oct 25, 2021
Header-only C++ HNSW implementation with python bindings
Hnswlib - fast approximate nearest neighbor search Header-only C++ HNSW implementation with python bindings. NEWS: version 0.6 Thanks to (@dyashuni) h
2.3k Jan 05, 2023
Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".
Patience-based Early Exit Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit". NEWS: We now have a better and tidier i
54 Jan 04, 2023
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Anchored CorEx: Hierarchical Topic Modeling with Minimal Domain Knowledge Correlation Explanation (CorEx) is a topic model that yields rich topics tha
592 Dec 18, 2022
[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.
[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.
61 Dec 10, 2022
A collection of models for image - text generation in ACM MM 2021.
Bi-directional Image and Text Generation UMT-BITG (image & text generator) Unifying Multimodal Transformer for Bi-directional Image and Text Generatio
63 Oct 30, 2022
Labelling platform for text using distant supervision
With DataQA, you can label unstructured text documents using rule-based distant supervision.
245 Aug 05, 2022
PUA Programming Language written in Python.
pua-lang PUA Programming Language written in Python. Installation git clone https://github.com/zhaoyang97/pua-lang.git cd pua-lang pip install . Try
4 Feb 19, 2022
Training code of Spatial Time Memory Network. Semi-supervised video object segmentation.
Training-code-of-STM This repository fully reproduces Space-Time Memory Networks Performance on Davis17 val set&Weights backbone training stage traini
128 Dec 11, 2022
2021搜狐校园文本匹配算法大赛baseline
sohu2021-baseline 2021搜狐校园文本匹配算法大赛baseline 简介 分享了一个搜狐文本匹配的baseline，主要是通过条件LayerNorm来增加模型的多样性，以实现同一模型处理不同类型的数据、形成不同输出的目的。 线下验证集F1约0.74，线上测试集F1约0.73。
45 Sep 06, 2022
fastai ulmfit - Pretraining the Language Model, Fine-Tuning and training a Classifier
fast.ai ULMFiT with SentencePiece from pretraining to deployment Motivation: Why even bother with a non-BERT / Transformer language model? Short answe
26 May 27, 2022
A website which allows you to play with the GPT-2 transformer
transformers A website which allows you to play with the GPT-2 model Built with ❤️ by raphtlw Table of contents Model Setup About Contributors Model T
2 Jan 27, 2022
Data preprocessing rosetta parser for python
datapreprocessing_rosetta_parser I've never done any NLP or text data processing before, so I wanted to use this hackathon as a learning opportunity,
2 Nov 28, 2021
Code and checkpoints for training the transformer-based Table QA models introduced in the paper TAPAS: Weakly Supervised Table Parsing via Pre-training.
End-to-end neural table-text understanding models.
914 Jan 07, 2023
Neural-Machine-Translation - Implementation of revolutionary machine translation models
Neural Machine Translation Framework: PyTorch Repository contaning my implementa
1 Feb 17, 2022
Package for controllable summarization
summarizers summarizers is package for controllable summarization based CTRLsum. currently, we only supports English. It doesn't work in other languag
72 Dec 07, 2022