ChatGPT Java SDK支持流式输出、Gpt插件、联网。支持OpenAI官方所有接口。ChatGPT的Java客户端。OpenAI GPT-3.5-Turb GPT-4 Api Client for Java

GLM (General Language Model)

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

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

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pCLUE: 1000000+多任务提示学习数据集

BERT score for text generation

The simplest, fastest repository for training/finetuning medium-sized GPTs.

TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型，实现了包括LLaMA，ChatGLM，BLOOM，GPT2，Seq2Seq，BART，T5，UDA等模型的训练和预测，开箱即用。

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

中文CLIP预训练模型

A unified, comprehensive and efficient recommendation library

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

得意黑 Smiley Sans：一款在人文观感和几何特征中寻找平衡的中文黑体

最好的汉字数字(中文数字)-阿拉伯数字转换工具。包含"点二八"，"负百分之四十"等众多汉语表达方法。NLP，机器人工程必备！ The Best Tool of Chinese Number to Digits

Minimal keyword extraction with BERT

Streamlit — A faster way to build and share data apps.

Robust Speech Recognition via Large-Scale Weak Supervision

Port of OpenAI's Whisper model in C/C++

用文本编辑器剪视频

Let's make a video clip

This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image