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Jia Chengbin's Projects

apijson icon apijson

🚀 零代码、全功能、强安全 ORM 库,后端接口和文档零代码,前端(客户端) 定制返回 JSON 的数据和结构。 🚀 A JSON Transmission Protocol and an ORM Library for providing APIs and Docs without writing any code.

docs icon docs

TensorFlow documentation

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gpt2-chitchat icon gpt2-chitchat

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI**)

gpt4all icon gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

graph-timeline icon graph-timeline

是一个用于图分析中分析节点的时间关系的组件

linly icon linly

Chinese-LLaMA基础模型;ChatFlow中文对话模型;中文OpenLLaMA模型;NLP预训练/指令微调数据集

llama-x icon llama-x

Open Academic Research on Improving LLaMA to SOTA LLM

lmflow icon lmflow

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

mind2web icon mind2web

Dataset, code and models for the paper "Mind2Web: Towards a Generalist Agent for the Web".

nebullvm icon nebullvm

Plug and play modules to optimize the performances of your AI systems 🚀

paddlenlp icon paddlenlp

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

paddleocr icon paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

palm-rlhf-pytorch icon palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

privategpt icon privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

visualblocks icon visualblocks

Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.

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