Write Better Python Code
This repository contains the code examples used in my Write Better Python Code series published on YouTube:
https://www.youtube.com/playlist?list=PLC0nd42SBTaNuP4iB4L6SJlMaHE71FG6N
This repository contains the code examples used in my Write Better Python Code series published on YouTube:
https://www.youtube.com/playlist?list=PLC0nd42SBTaNuP4iB4L6SJlMaHE71FG6N
Transformers are all you need In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a
π¨ Update π¨ : As of 2021/10/17, the jiant project is no longer being actively maintained. This means there will be no plans to add new models, tasks,
polyglot Polyglot is a natural language pipeline that supports massive multilingual applications. Free software: GPLv3 license Documentation: http://p
ko-sentence-transformers μ΄ νλ‘μ νΈλ KoBERT λͺ¨λΈμ sentence-transformers μμ λ³΄λ€ μ½κ² μ¬μ©νκΈ° μν΄ λ§λ€μ΄μ‘μ΅λλ€. Ko-Sentence-BERT-SKTBERT νλ‘μ νΈμμλ KoBERT λͺ¨λΈμ sentence-trans
Voice-conversion-evaluation An evaluation toolkit for voice conversion models. Sample test pair Generate the metadata for evaluating models. The direc
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 Billion Parameters) on a single 16 GB VRAM V100 Google Cloud instance with Huggingfa
Coreferee Author: Richard Paul Hudson, msg systems ag 1. Introduction 1.1 The basic idea 1.2 Getting started 1.2.1 English 1.2.2 German 1.2.3 Polish 1
Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want
Schema Curation Custom Component Outreachy TFX custom component project This repo contains the code for Schema Curation Custom Component made as a par
Transformers: from NLP to CV This is a practical introduction to Transformers from Natural Language Processing (NLP) to Computer Vision (CV) Introduct
Sentiment-Analyzer-Tool It analyze the sentiment of the user, whether it is postive or negative. It uses streamlit library for creating this sentiment
RIDE: Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. by Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu and Stella X. Yu at UC
Structured State Spaces for Sequence Modeling This repository provides implementations and experiments for the following papers. S4 Efficiently Modeli
Visualize, analyze, and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BER
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Napari scripts A collection of napari related tools in various state of disrepair/functionality. Browse_LIF_widget.py This module can be imported, for
Spark NLP: State of the Art Natural Language Processing Spark NLP is a Natural Language Processing library built on top of Apache Spark ML. It provide
Graformer The repository for the paper: Multilingual Translation via Grafting Pre-trained Language Models Graformer (also named BridgeTransformer in t
nerblackbox A python package to fine-tune transformer-based language models for named entity recognition (NER). Resources Source Code: https://github.
Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"