transformer

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

A framework for efficient model inference with omni-modality models

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Transformer related optimization, including BERT, GPT

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

SwinIR: Image Restoration Using Swin Transformer (official repository)

A programmable Mixture-of-Models router for heterogeneous LLM inference

Production First and Production Ready End-to-End Speech Recognition Toolkit

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

An Open-Source Framework for Prompt-Learning.

不玩晦涩不搞少数派的 AI 入门圣经，从学生到工程师都能轻松掌握。涵盖神经网络到大模型、顶层设计到微观原理、工程实现到算法基础。 学完后，大家能彻底看懂为什么下一 token 预测这个看似不起眼的能力可以改变世界，也能发现原来 AI 并没有想象中那么神秘、那么高不可攀。 Let's just beat it !

Transformer: PyTorch Implementation of "Attention Is All You Need"

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Scalable and user friendly neural :brain: forecasting algorithms.

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Official PyTorch implementation of SegFormer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

we want to create a repo to illustrate usage of transformers in chinese

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Foundation Architecture for (M)LLMs

基于深度强化学习的开源自动因子工厂。

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

[AutoArk] GPA (General Purpose Audio) can do ASR, TTS and voice conversion with one tiny model!

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Flops counter for neural networks in pytorch framework

PyTorch native quantization for training and inference