bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
Stars: ✭ 56 (+115.38%)
robustness-vitContains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).
Stars: ✭ 78 (+200%)
language-plannerOfficial Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
Stars: ✭ 84 (+223.08%)
wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
Stars: ✭ 39 (+50%)
text2keywordsTrained T5 and T5-large model for creating keywords from text
Stars: ✭ 53 (+103.85%)
TorchBlocksA PyTorch-based toolkit for natural language processing
Stars: ✭ 85 (+226.92%)
deepconsensusDeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.
Stars: ✭ 124 (+376.92%)
remixer-pytorchImplementation of the Remixer Block from the Remixer paper, in Pytorch
Stars: ✭ 37 (+42.31%)
transformer generalizationThe official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.
Stars: ✭ 58 (+123.08%)
tttA package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+
Stars: ✭ 35 (+34.62%)
molecule-attention-transformerPytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules
Stars: ✭ 46 (+76.92%)
eve-botEVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support
Stars: ✭ 31 (+19.23%)
xpandasUniversal 1d/2d data containers with Transformers functionality for data analysis.
Stars: ✭ 25 (-3.85%)
text2textText2Text: Cross-lingual natural language processing and generation toolkit
Stars: ✭ 188 (+623.08%)
long-short-transformerImplementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch
Stars: ✭ 103 (+296.15%)
BERT-NERUsing pre-trained BERT models for Chinese and English NER with 🤗Transformers
Stars: ✭ 114 (+338.46%)
anonymisationAnonymization of legal cases (Fr) based on Flair embeddings
Stars: ✭ 85 (+226.92%)
robo-vlnPytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
Stars: ✭ 34 (+30.77%)
elastic transformersMaking BERT stretchy. Semantic Elasticsearch with Sentence Transformers
Stars: ✭ 153 (+488.46%)
iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Stars: ✭ 52 (+100%)
TransCenterThis is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.
Stars: ✭ 82 (+215.38%)
Product-Categorization-NLPMulti-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Stars: ✭ 30 (+15.38%)
deepfrogAn NLP-suite powered by deep learning
Stars: ✭ 16 (-38.46%)
text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
Stars: ✭ 15 (-42.31%)
pytorch-vitAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Stars: ✭ 250 (+861.54%)
golgothaContextualised Embeddings and Language Modelling using BERT and Friends using R
Stars: ✭ 39 (+50%)
converseConversational text Analysis using various NLP techniques
Stars: ✭ 147 (+465.38%)
n-grammer-pytorchImplementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch
Stars: ✭ 50 (+92.31%)
modulesThe official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.
Stars: ✭ 25 (-3.85%)
small-textActive Learning for Text Classification in Python
Stars: ✭ 241 (+826.92%)
gnn-lspeSource code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Stars: ✭ 165 (+534.62%)
miniconsUtility for analyzing Transformer based representations of language.
Stars: ✭ 28 (+7.69%)
DocSumA tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
Stars: ✭ 58 (+123.08%)
ParsBigBirdPersian Bert For Long-Range Sequences
Stars: ✭ 58 (+123.08%)
WellcomeMLRepository for Machine Learning utils at the Wellcome Trust
Stars: ✭ 31 (+19.23%)
classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Stars: ✭ 61 (+134.62%)
lightning-transformersFlexible components pairing 🤗 Transformers with Pytorch Lightning
Stars: ✭ 551 (+2019.23%)
label-studio-transformersLabel data using HuggingFace's transformers and automatically get a prediction service
Stars: ✭ 117 (+350%)
nuwa-pytorchImplementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
Stars: ✭ 347 (+1234.62%)
Text-SummarizationAbstractive and Extractive Text summarization using Transformers.
Stars: ✭ 38 (+46.15%)
MISEMultimodal Image Synthesis and Editing: A Survey
Stars: ✭ 214 (+723.08%)
Transformers-TutorialsThis repository contains demos I made with the Transformers library by HuggingFace.
Stars: ✭ 2,828 (+10776.92%)
smaller-transformersLoad What You Need: Smaller Multilingual Transformers for Pytorch and TensorFlow 2.0.
Stars: ✭ 66 (+153.85%)
transformers-interpretModel explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Stars: ✭ 861 (+3211.54%)
optimum🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools
Stars: ✭ 567 (+2080.77%)
pysentimientoA Python multilingual toolkit for Sentiment Analysis and Social NLP tasks
Stars: ✭ 274 (+953.85%)
spark-transformersSpark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.
Stars: ✭ 39 (+50%)
OpenDialogAn Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统,一键部署微信闲聊机器人)
Stars: ✭ 94 (+261.54%)
C-TranGeneral Multi-label Image Classification with Transformers
Stars: ✭ 106 (+307.69%)
Pytorch-NLUPytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…
Stars: ✭ 151 (+480.77%)