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Foundational Models for State-of-the-Art Speech and Text Translation
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Multiagent Reinforcement Learning Research Project
MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化，也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
《SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts》
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
The repo for Tsinghua summer course: Interdisciplinary Seminar on Big Models
🦜🔗 Build context-aware reasoning applications
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Unified-Modal Speech-Text Pre-Training for Spoken Language Processing
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
llm deploy project based mnn. This project has merged into MNN.
Pytorch implementation of OpenAI-GPT for ROC stories
PyTorch package for the discrete VAE used for DALL·E.
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Chinese version of GPT2 training code, using BERT tokenizer.
A playbook for systematically maximizing the performance of deep learning models.
deep learning for image processing including classification and object-detection etc.
Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learni…