Dong Daxiang

convert math text(mostly with latex) to image data

a command line json viewer

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Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Streamlit — The fastest way to build data apps in Python

A curated list of awesome PaddlePaddle Project inspired by awesome tensorflow

papers and systems that support distributed training

some example and tools for deep learning research

website for personal information

slime is an LLM post-training framework for RL Scaling.

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skills published and maintained by baidu cloud engine

支持主题设计的 Markdown 编辑器，让排版变 Nice

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kubernetes execution client

Trae Agent is an LLM-based agent for general purpose software engineering tasks.

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Implementing DeepSeek R1's GRPO algorithm from scratch

Ongoing research training transformer models at scale

An open-source solution for full parameter fine-tuning of DeepSeek-V3/R1 671B, including complete code and scripts from training to inference, as well as some practical experiences and conclusions. (DeepSeek-V3/R1 满血版 671B 全参数微调的开源解决方案，包含从训练到推理的完整代码和脚本，以及实践中积累一些经验和结论。)

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen2.5, Llama4, InternLM3, GLM4, Mistral, Yi1.5, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, Ovis2, InternVL2.5, Llava, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, DeepSeek-VL2, Phi4, GOT-OCR2, ...).

A very simple GRPO implement for reproducing r1-like LLM thinking.

Minimalistic large language model 3D-parallelism training

Video-R1: Reinforcing Video Reasoning in MLLMs [🔥the first work to systematically explore R1 for video]

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

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collections of mcps that are useful on cursor IDE

Model Context Protocol Servers

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Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

The ERNIE Bot Python SDK provides convenient access to the ERNIE Bot API, including Chat Completion, Embedding, Function Calling, etc.

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personal homepage

An open source recommender system service written in Go

Tensors and Dynamic neural networks in Python with strong GPU acceleration

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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Example Streamlit app that you can fork to test out share.streamlit.io

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

High concurrency parameter server engine

大规模推荐模型训练工具

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Elastic Deep Learning using PaddlePaddle and Kubernetes

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Abseil Common Libraries (C++)

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Mapping a variable-length sentence to a fixed-length vector using BERT model

此仓库为 OSCHINA 对 GitHub 账号的审查、认证仓库。

Milvus is an open source high performance vector similarity search engine.

Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎）

A flexible, high-performance serving system for machine learning models

This repo contains the LF AI Project Proposal Process and Project Lifecycle. They explain the process to host new projects in LF AI and provide a proposal template.

A flexible, high-performance serving system for machine learning models（『飞桨』服务器端部署库）

A Flexible and Powerful Parameter Server for large-scale machine learning

CMake Cookbook recipes.

Input pipelines for large scale, sharded training of deep learning models.

😎 Awesome lists about all kinds of interesting topics

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Full-featured library for writing Alfred 3 & 4 workflows

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

DyNet: The Dynamic Neural Network Toolkit

Federated Deep Learning in PaddlePaddle

A Sublime Text Editor Installer made in shell script for the 2.0.1 version

Leaf: A Benchmark for Federated Settings

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Code to reproduce "imagenet in 18 minutes" experiments

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 interface.

Paddle Continuous Evaluation, keep updating.

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Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services, called "baidu-rpc" inside Baidu.

Repository for SIGIR'18 paper: "Ranking for Relevance and Display Preferences in Complex Presentation Layouts"

Model configurations

PArallel Distributed Deep LEarning

Caffe: a fast open framework for deep learning.

pytorch examples

A PyTorch implementation of the Transformer model in "Attention is All You Need".