junwei-pan

tensorflow

An Open Source Machine Learning Framework for Everyone

kubernetes

Production-Grade Container Scheduling and Management

presto

The official home of the Presto distributed SQL query engine for big data

autokeras

AutoML library for deep learning

db-readings

Readings in Databases

FATE

An Industrial Grade Federated Learning Framework

pipeline

PipelineAI

darts

Differentiable architecture search for convolutional and recurrent networks

TensorFlowOnSpark

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

loss-landscape

Code for visualizing the loss landscape of neural nets

Awesome-AutoDL

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

libfm

Library for factorization machines

gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

cornac

A Comparative Framework for Multimodal Recommender Systems

RepLKNet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

xDeepFM

nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

awesome-multi-task-learning

2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

sars_tutorial

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

rigl

End-to-end training of sparse deep neural networks with little-to-no performance loss.

embedx

embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等

DeepLight_Deep-Lightweight-Feature-Interactions

Accelerating Inference for Recommendation Systems (WSDM'21)

FmFM

choose2grow

Research code for "Choosing to grow a graph" project. Contains code for network generation and model estimation.

Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization

nc_loss

Field_weighted_Factorization_Machines_Deprecated

Publications

Machine_Learning_Paper_List