transformer
Tracked open-source repos tagged transformer, sorted by stars.
- #121
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
★ 1,120+2Star change over the last 7 days - #122
Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)
★ 1,097+0Star change over the last 7 days - #123
Implementation of TabTransformer, attention network for tabular data, in Pytorch
★ 1,093+1Star change over the last 7 days - #124
Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
★ 1,054+3Star change over the last 7 days - #125
📘 A comprehensive handbook on how to create transformers for TypeScript with code examples.
★ 1,019+0Star change over the last 7 days - #126★ 1,017+15Star change over the last 7 days
- #127
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works
★ 1,014+3Star change over the last 7 days - #128
Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.
★ 1,014+3Star change over the last 7 days - #129
allRank is a framework for training learning-to-rank neural models based on PyTorch.
★ 1,010+0Star change over the last 7 days - #130
A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.
★ 993+3Star change over the last 7 days - #131
building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)
★ 982+0Star change over the last 7 days - #132
Official Code Release for [SIGGRAPH 2025] RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
★ 973+3Star change over the last 7 days - #133
List of Molecular and Material design using Generative AI and Deep Learning
★ 952+1Star change over the last 7 days - #134
ChatGPT, GenerativeAI and LLMs Timeline
★ 950+0Star change over the last 7 days - #135
SOTA Semantic Segmentation Models in PyTorch
★ 942-1Star change over the last 7 days - #136
cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.
★ 932+13Star change over the last 7 days - #137
Papers about graph transformers.
★ 927+0Star change over the last 7 days - #138
Formula Recognition & Office Editing Math Workspace | Handwriting & PDF to LaTeX/Markdown, And Secure API Integrations.
★ 926+22Star change over the last 7 days - #139
Foundation Models for Genomics & Transcriptomics
★ 917+5Star change over the last 7 days - #140
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
★ 905-1Star change over the last 7 days - #141
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
★ 905+0Star change over the last 7 days - #142
tfts: Time Series Deep Learning Models in TensorFlow
★ 891-1Star change over the last 7 days - #143
🤖 A PyTorch library of curated Transformer models and their composable components
★ 890+0Star change over the last 7 days - #144★ 887+2Star change over the last 7 days
- #145
A Laravel Fractal package for building API responses, giving you the power of Fractal with Laravel's elegancy.
★ 887-1Star change over the last 7 days - #146★ 848+2Star change over the last 7 days
- #147
[CVPR2025 && NTIRE2025] HVI: A New Color Space for Low-light Image Enhancement (Official Implementation)
★ 844+1Star change over the last 7 days - #148
Transformer based on a variant of attention that is linear complexity in respect to sequence length
★ 843+1Star change over the last 7 days - #149
🤖✨ChatMLX is a modern, open-source, high-performance chat application for MacOS based on large language models.
★ 833+0Star change over the last 7 days - #150
自动驾驶笔记,以解析各模块知识点、整合行业优秀解决方案进行阐述,以帮助自己及有需要的读者;包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.
★ 827+2Star change over the last 7 days