123 Open source projects that are alternatives of or similar to remixer-pytorch

🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Label data using HuggingFace's transformers and automatically get a prediction service

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

Transformer/Transformer-XL/R-Transformer examples and explanations

Repository for Machine Learning utils at the Wellcome Trust

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Conversational text Analysis using various NLP techniques

Code for Editing Factual Knowledge in Language Models

This repository contains demos I made with the Transformers library by HuggingFace.

Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

Neural Relation Understanding: neural cardinality estimators for tabular data

A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

Bottleneck Transformers for Visual Recognition

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

Flexible components pairing 🤗 Transformers with Pytorch Lightning

This repository contains code for the O'Reilly Live Online Training for BERT

This is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Abstractive and Extractive Text summarization using Transformers.

A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

The 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.

Transformer based translation quality estimation

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

The 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.

KB국민은행에서 제공하는 경제/금융 도메인에 특화된 한국어 ALBERT 모델

Compare neural networks by their feature similarity

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

CINO: Pre-trained Language Models for Chinese Minority (少数民族语言预训练模型)

Universal 1d/2d data containers with Transformers functionality for data analysis.

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

Pytorch-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…

A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transformers.

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

A Framework for Textual Entailment based Zero Shot text classification

Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules

Use custom tokenizers in spacy-transformers

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

An NLP system for generating reading comprehension questions

Applying 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

A collection of Danish Transformers

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

Is a geometric model required to synthesize novel views from a single image?

CLIP (Contrastive Language–Image Pre-training) for Italian

Anonymization of legal cases (Fr) based on Flair embeddings

Using Transformers from HuggingFace in R

NMA deep learning course

Unofficial JAX implementations of deep learning research papers

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

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Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

Chef Transformer 🍲 .

An NLP-suite powered by deep learning

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks