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Flutter makes it easy and fast to build beautiful apps for mobile and beyond
🚀 阶跃星辰跃问YueWen Step 多模态大模型逆向API【特长：超强多模态】，支持高速流式输出、联网搜索、长文档解读、图像解析、多轮对话，零配置部署，多路token支持，自动清理会话痕迹，仅供测试，如需商用请前往官方开放平台。
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Free ChatGPT&DeepSeek API Key，免费ChatGPT&DeepSeek API。免费接入DeepSeek API和GPT4 API，支持 gpt | deepseek | claude | gemini | grok 等排名靠前的常用大模型。
Must-read papers on Natural Language Processing (NLP)
Utils for streaming large files (S3, HDFS, gzip, bz2...)
pix2tex: Using a ViT to convert images of equations into LaTeX code.
The RedPajama-Data repository contains code for preparing large datasets for training large language models.
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。
Tools to download and cleanup Common Crawl data
Markdown rendering + Latex extras (equations, tables, ...), with conversion features, for the scientific community
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.
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone
Scalable, Portable and Distributed Gradient Boosting 80D8 (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Making large AI models cheaper, faster and more accessible
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Google Research
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …