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  • 🔭 I’m currently working on Electronic Science, Beijing University of Posts and Telecommunications
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xiangbin's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-chinese-llm icon awesome-chinese-llm

整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。

bertviz icon bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

chainlit icon chainlit

Build Python LLM apps in minutes ⚡️

chatgpt-next-web icon chatgpt-next-web

A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。

demogpt icon demogpt

Create 🦜️🔗 LangChain apps by just using prompts with the power of Llama 2 🌟 Star to support our work! | 只需使用句子即可创建 LangChain 应用程序。 给个star支持我们的工作吧!

embedchain icon embedchain

Framework to easily create LLM powered bots over any dataset.

flowise icon flowise

Drag & drop UI to build your customized LLM flow

langflow icon langflow

⛓️ LangFlow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.

llama-efficient-tuning icon llama-efficient-tuning

Easy-to-use fine-tuning framework using PEFT (PT+SFT+RLHF with QLoRA) (LLaMA-2, BLOOM, Falcon, Baichuan)

loghub icon loghub

A large collection of system log datasets for AI-driven log analytics

logparser icon logparser

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

logppt icon logppt

Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)

mini-agi icon mini-agi

MiniAGI is a minimal general-purpose autonomous agent based on GPT-3.5 / GPT-4. Can analyze stock prices, perform network security tests, create art, and order pizza.

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