Qinlong Wang's repositories
Mobile-user-demographics
In this competition, you are going to predict the demographics of a user (gender and age) based on their app download and usage behaviors.
cocoapi
COCO API - Dataset @ http://cocodataset.org/
ColossalAI
Colossal-AI: A Unified Deep Learning System for Big Model Era
tensorflow
An Open Source Machine Learning Framework for Everyone
cpython
The Python programming language
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
dlrover
DLRover: An Automatic Distributed Deep Learning System
elasticdl
Kubernetes-native Deep Learning Framework
eng-practices
Google's Engineering Practices documentation
hadoop_examples
the examples for study MapReduce on hadoop
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
k8s-operator-demo
A demo to develop a k8s controller
lfai-landscape
🌄 Open Source AI & Data Landscape - provides overview of top tier projects in the open source AI and Data ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.
Megatron-LM-CKPT
Ongoing research training transformer models at scale
mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
nanotron
Minimalistic large language model 3D-parallelism training
networkManagement-in-Android
Intelligently control the on/off of the WiFi on smartphone
predictions-for-video-clicks
Predictions for users' video clicks on website based the previous records in 7 weeks before.
recommenders-addons
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
Santander-Product-Recommendation
Santander is challenging Kagglers to predict which products their existing customers will use in the next month based on their past behavior and that of similar customers.