128 Open source projects that are alternatives of or similar to molecule-attention-transformer

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

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…

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

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

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Code for Editing Factual Knowledge in Language Models

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

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Neural Relation Understanding: neural cardinality estimators for tabular data

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

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

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

[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.

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

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.

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Transformer based translation quality estimation

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

[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"

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Bottleneck Transformers for Visual Recognition

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

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

Abstractive and Extractive Text summarization using Transformers.

A Framework for Textual Entailment based Zero Shot text classification

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

Use custom tokenizers in spacy-transformers

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

An NLP system for generating reading comprehension questions

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.

A collection of Danish Transformers

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

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

Repository for Machine Learning utils at the Wellcome Trust

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

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

Using Transformers from HuggingFace in R

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

Unofficial JAX implementations of deep learning research papers

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.

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

Flexible components pairing 🤗 Transformers with Pytorch Lightning

KB국민은행에서 제공하는 경제/금융 도메인에 특화된 한국어 ALBERT 모델

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

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KoBERT on 🤗 Huggingface Transformers 🤗 (with Bug Fixed)

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

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

Library - Vanilla, ViT, DeiT, BERT, GPT

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

Conversational text Analysis using various NLP techniques

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

Compare neural networks by their feature similarity

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

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