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Make Llama2 use Code Execution, Debug, Save Code, Reuse it, Access to Internet
A natural language interface for computers
流水线系统(pipeline)构建基于本地知识库的ChatGLM问答
🦜🔗 Build context-aware reasoning applications
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
中文LLaMA&Alpaca大语言模型 本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
用C 开发的跨平台的基于ctp api的交易程序，可以实现在云服务器连续自动运行，无需手动干预，微信监控实时通知，接触不到电脑也可随时了解交易行情动态，数据文件自动压缩上传百度网盘，熟悉无锁ringbuffer的使用，尽可能降低延迟。
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.
Python Backtesting library for trading strategies
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 …
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Fit interpretable models. Explain blackbox machine learning.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
The fundamental package for scientific computing with Python.
SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
📚 Solutions to Introduction to Algorithms Third Edition
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …
A common bricks library for building scalable and portable distributed machine learning.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone