thomas-young-2013
Senior researcher, focusing on AutoML algorithms, systems, and their applications (e.g., data systems).
Tencent Inc.Peking University
Pinned Repositories
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
auto-sklearn
Automated Machine Learning with scikit-learn
automatic-hyperparameter-tuning
Hyperparameter Optimization
awesome-nas-papers
Awesome Neural Architecture Search Papers
Demo-DistributedMLSystem-PS
distributed machine learning demo based on parameter server
efficient-tlbo
Efficient transfer learning based bayesian optimization for Hyperparameter optimization
HyperTune
Efficient Hyper-parameter Tuning at Scale
mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
open-box
Generalized and Efficient Blackbox Optimization System.
Wherehows-eXtension
Data Discovery and Lineage for Big Data Ecosystem
thomas-young-2013's Repositories
thomas-young-2013/open-box
Generalized and Efficient Blackbox Optimization System.
thomas-young-2013/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
thomas-young-2013/Wherehows-eXtension
Data Discovery and Lineage for Big Data Ecosystem
thomas-young-2013/Demo-DistributedMLSystem-PS
distributed machine learning demo based on parameter server
thomas-young-2013/efficient-tlbo
Efficient transfer learning based bayesian optimization for Hyperparameter optimization
thomas-young-2013/HyperTune
Efficient Hyper-parameter Tuning at Scale
thomas-young-2013/awesome-nas-papers
Awesome Neural Architecture Search Papers
thomas-young-2013/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
thomas-young-2013/auto-sklearn
Automated Machine Learning with scikit-learn
thomas-young-2013/automatic-hyperparameter-tuning
Hyperparameter Optimization
thomas-young-2013/automl_service
Deploy AutoML as a service using Flask
thomas-young-2013/automl_space
Exploring search spaces for AutoML systems.
thomas-young-2013/awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
thomas-young-2013/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
thomas-young-2013/Basic-Algorithm-Learning
thomas-young-2013/few-shot
Repository for few-shot learning machine learning projects
thomas-young-2013/hp-tuner
Hyperparameter Optimization Toolkit
thomas-young-2013/keras
Deep Learning for humans
thomas-young-2013/Kettle-ML
kettle project
thomas-young-2013/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
thomas-young-2013/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
thomas-young-2013/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
thomas-young-2013/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
thomas-young-2013/thomas-young-2013.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
thomas-young-2013/tlbo-benchmark
thomas-young-2013/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习