transformers

Abstractive and Extractive Text summarization using Transformers.

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper

Neural networks library for machine learning on PHP

【持续更新中】 完全中文版的 Transformers 学习笔记及演示示例，支持 Jupyter Notebook，主要内容来自 🤗 Hugging Face 中关于 Transformers 的教材文档，在官方文档的基础上修改了部分示例的代码，补充在运行过程中遇到的问题和对应的解决方案。

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

Framework for specifying and proving properties—such as robustness, fairness, and interpretability—of machine learning models using Lean 4.

Qualcomm Cloud AI SDK (Platform and Apps) enable high performance deep learning inference on Qualcomm Cloud AI platforms delivering high throughput and low latency across Computer Vision, Object Detection, Natural Language Processing and Generative AI models.

JavaScript's component-based development framework, if you want to develop projects in a building block way, then try Transformers framework. 基于 JavaScript 的组件化开发框架，如果你想以搭积木的方式开发项目，那就试试 Transformers 框架吧~

Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.

Bangla-Bert is a pretrained bert model for Bengali language

Official implementation of the paper "IteraTeR: Understanding Iterative Revision from Human-Written Text" (ACL 2022)

This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"

easy-bert是一个中文NLP工具，提供诸多bert变体调用和调参方法，极速上手；清晰的设计和代码注释，也很适合学习

📲 Transformers android examples (Tensorflow Lite & Pytorch Mobile)

Chef Transformer 🍲 .

State-of-the-art neural cardinality estimators for join queries

[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"

Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch

Implementation of the proposed MaskBit from Bytedance AI