Explore the relationship between twitter sentiment of Tesla and its stock price/return.
Explore the effect of different BERT-based models on twitter sentiment 3-class classification.
Explore the performance of different hyper-parameter tuning methods for transformers: random search, bayesian optimization and population based training.
APEACH - Korean Hate Speech Evaluation Datasets APEACH is the first crowd-generated Korean evaluation dataset for hate speech detection. Sentences of
YouTokenToMe YouTokenToMe is an unsupervised text tokenizer focused on computational efficiency. It currently implements fast Byte Pair Encoding (BPE)
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents [Project Page] [Paper] [Video] Wenlong Huang1, Pieter Abbee
๐ Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. ๐ซโ๏ธ
๐ค Transformers Wav2Vec2 + Parlance's CTCDecode Introduction This repo shows how ๐ค Transformers can be used in combination with Parlance's ctcdecode
fastNLP fastNLPๆฏไธๆฌพ่ฝป้็บง็่ช็ถ่ฏญ่จๅค็๏ผNLP๏ผๅทฅๅ ทๅ ๏ผ็ฎๆ ๆฏๅฟซ้ๅฎ็ฐNLPไปปๅกไปฅๅๆๅปบๅคๆๆจกๅใ fastNLPๅ ทๆๅฆไธ็็นๆง๏ผ ็ปไธ็Tabularๅผๆฐๆฎๅฎนๅจ๏ผ็ฎๅๆฐๆฎ้ขๅค็่ฟ็จ๏ผ ๅ ็ฝฎๅค็งๆฐๆฎ้็LoaderๅPipe๏ผ็ๅป้ขๅค็ไปฃ็ ; ๅ็งๆนไพฟ็NLPๅทฅๅ ท๏ผไพๅฆEmbedd
BERT-pytorch Pytorch implementation of Google AI's 2018 BERT, with simple annotation BERT 2018 BERT: Pre-training of Deep Bidirectional Transformers f
flomo bot ไฝฟ็จ Telegram ๆบๅจไบบๅ้็ฌ่ฎฐๅฐไฝ ็ Flomo. ไฝ ้่ฆๆไธๅฐๅฏ่ฎฟ้ฎ Telegram ็ๆๅกๅจใ Steps @BotFather ๆฐๅปบๆบๅจไบบ๏ผ่ทๅ token Flomo ๅฎ็ฝ่ทๅ API๏ผ้พๆฅ https://flomoapp.com/mine?source=in
8bit breadboard computer simulator This is an assembler + simulator/emulator of Ben Eater's 8bit breadboard computer. For a version with its RAM upgra
COCO LM Pretraining (wip) Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch. They were a
Kochat ์ฑ๋ด ๋น๋๋ ์ฑ์ ์์ฐจ๊ณ , ์์ ๋ง์ ๋ฅ๋ฌ๋ ์ฑ๋ด ์ ํ๋ฆฌ์ผ์ด์ ์ ๋ง๋์๊ณ ์ถ์ผ์ ๊ฐ์? Kochat์ ์ด์ฉํ๋ฉด ์์ฝ๊ฒ ์์ ๋ง์ ๋ฅ๋ฌ๋ ์ฑ๋ด ์ ํ๋ฆฌ์ผ์ด์ ์ ๋น๋ํ ์ ์์ต๋๋ค. # 1. ๋ฐ์ดํฐ์ ๊ฐ์ฒด ์์ฑ dataset = Dataset(ood=True) #
textgenrnn Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code, or quickly tr
ํ์ด์ฌ ๋นํธ์ฝ์ธ ํฌ์ ์๋ํ ๊ฐ์ ์ฝ๋ by ์ ํ๋ธ ์กฐ์ฝ๋ฉ ์ฑ๋ pyupbit ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ฅผ ํ์ฉํ์ฌ upbit ๊ฑฐ๋์์์ ๋นํธ์ฝ์ธ ์๋๋งค๋งค๋ฅผ ํ๋ ์ฝ๋์ ๋๋ค. ํ์ผ ๊ตฌ์ฑ test.py : ์๊ณ ์กฐํ (1๊ฐ) backtest.py : ๋ฐฑํ ์คํ ์ฝ๋ (2๊ฐ) bestK.p
Note: This utility is really old and is no longer maintained. You should use keras.layers.TextVectorization instead of this. Utilities for pre-process
BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the c
ConSERT Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer Requirements torch==1.6.0
NLP command-line assistant powered by OpenAI
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation This repository is the pytorch implementation of our paper: Hierarchical Cr
polyglot Polyglot is a natural language pipeline that supports massive multilingual applications. Free software: GPLv3 license Documentation: http://p
Compact Transformers Preprint Link: Escaping the Big Data Paradigm with Compact Transformers By Ali Hassani[1]*, Steven Walton[1]*, Nikhil Shah[1], Ab
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