Dong Daxiang's Projects
Abseil Common Libraries (C++)
Full-featured library for writing Alfred 3 & 4 workflows
A Flexible and Powerful Parameter Server for large-scale machine learning
A PyTorch implementation of the Transformer model in "Attention is All You Need".
😎 Awesome lists about all kinds of interesting topics
A curated list of awesome PaddlePaddle Project inspired by awesome tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Mapping a variable-length sentence to a fixed-length vector using BERT model
Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services, called "baidu-rpc" inside Baidu.
Caffe: a fast open framework for deep learning.
CMake Cookbook recipes.
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
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.
papers and systems that support distributed training
some example and tools for deep learning research
Input pipelines for large scale, sharded training of deep learning models.
DyNet: The Dynamic Neural Network Toolkit
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Elastic Deep Learning using PaddlePaddle and Kubernetes
The ERNIE Bot Python SDK provides convenient access to the ERNIE Bot API, including Chat Completion, Embedding, Function Calling, etc.
High concurrency parameter server engine
An open source recommender system service written in Go
personal homepage
website for personal information
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Code to reproduce "imagenet in 18 minutes" experiments