transformer

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Trax — Deep Learning with Clear Code and Speed

BertViz: Visualize Attention in Transformer Models

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

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

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

A framework for efficient model inference with omni-modality models

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.

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

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 !

【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。

Scalable and user friendly neural :brain: forecasting algorithms.

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

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