Dong Daxiang's repositories
awesome-paddlepaddle
A curated list of awesome PaddlePaddle Project inspired by awesome tensorflow
distributed_deep_learning_papers
papers and systems that support distributed training
PaddleFL
Federated Deep Learning in PaddlePaddle
alfred-workflow
Full-featured library for writing Alfred 3 & 4 workflows
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
awesome
😎 Awesome lists about all kinds of interesting topics
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
brpc
Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services, called "baidu-rpc" inside Baidu.
caffe
Caffe: a fast open framework for deep learning.
cmake-cookbook
CMake Cookbook recipes.
DeepCTR
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
dlinputs
Input pipelines for large scale, sharded training of deep learning models.
imagenet18
Code to reproduce "imagenet in 18 minutes" experiments
leaf
Leaf: A Benchmark for Federated Settings
mkl-dnn
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
models
Model configurations
my_pytorch_examples
pytorch examples
paddle-ce-latest-kpis
Paddle Continuous Evaluation, keep updating.
proposing-projects
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.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
RankingComplexLayouts
Repository for SIGIR'18 paper: "Ranking for Relevance and Display Preferences in Complex Presentation Layouts"
serving-1
A flexible, high-performance serving system for machine learning models
sublime-installer
A Sublime Text Editor Installer made in shell script for the 2.0.1 version
terngrad
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
xlearn
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.