transformer-models
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An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
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Jul 30, 2024
Fast inference engine for Transformer models
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Dec 5, 2025 - C++
Flops counter for neural networks in pytorch framework
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Aug 20, 2025 - Python
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
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Nov 3, 2022 - Python
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
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Dec 8, 2025 - Python
A curated list of foundation models for vision and language tasks
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Jun 23, 2025
LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.
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Dec 10, 2025 - Python
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
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Aug 16, 2022 - Python
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
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Jul 25, 2024 - Python
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
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Apr 29, 2025 - Python
FlashAttention (Metal Port)
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Sep 22, 2024 - Swift
🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.
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Feb 27, 2024 - Python
How to use our public wav2vec2 dimensional emotion model
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May 22, 2023 - Jupyter Notebook
Efficient Inference of Transformer models
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Aug 7, 2024 - C++
The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"
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Sep 18, 2025 - Python
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
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May 26, 2025 - Python
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
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May 9, 2020 - Jupyter Notebook
MinT: Minimal Transformer Library and Tutorials
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Jul 26, 2022 - Python
Pytorch implementation of Multimodal Fusion Transformer for Remote Sensing Image Classification.
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Dec 23, 2023 - Jupyter Notebook
Punctuation Restoration using Transformer Models for High-and Low-Resource Languages
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Jul 29, 2024 - Python
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