AprilXiaoyanLiu
Hi, I'm April 笑言. Applied Scientist @Microsoft | Reinforcement Learning | Natural Language Processing | Deep Learning | Machine Learning
MicrosoftSeattle WA
Pinned Repositories
Business_Intelligence_Machine_Learning
leverage predictive models, machine learning, data mining to solve marketing, business problems
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
google-interview-university
A complete daily plan for studying to become a Google software engineer.
Learning_Progress
this just records what I learnt each day
Machine-Learning-University-of-Washington
Assignments for University of Washington Machine Learning Specialization through Coursera
ML-From-Scratch
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.
Python-Projects
ad hoc python projects
python3_objected_oriented_programming
walk through the book of Python3 Objected Oriented Programming
smartnoise-system
Tools and service for differentially private processing of tabular and relational data
AprilXiaoyanLiu's Repositories
AprilXiaoyanLiu/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
AprilXiaoyanLiu/smartnoise-system
Tools and service for differentially private processing of tabular and relational data
AprilXiaoyanLiu/AzureML-Containers
Docker containers for running training scripts on AzureML
AprilXiaoyanLiu/CS7641_MachineLearning
AprilXiaoyanLiu/CTGAN
Conditional GAN for Tabular Data
AprilXiaoyanLiu/CV-lecture-quizzes-python
Python version of GT/Udacity Introduction to Computer Vision quizzes
AprilXiaoyanLiu/CV_WSSL
Weakly-/Semi-Supervised Learning in Computer vision
AprilXiaoyanLiu/darknet
Convolutional Neural Networks
AprilXiaoyanLiu/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
AprilXiaoyanLiu/demo
A demo repository for My JSON Server (Alpha)
AprilXiaoyanLiu/dpwgan
Differentially-private Wasserstein GAN implementation in PyTorch
AprilXiaoyanLiu/DRL4Recsys
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
AprilXiaoyanLiu/dslabs
Distributed Systems Labs and Framework
AprilXiaoyanLiu/fairlearn
A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.
AprilXiaoyanLiu/hiivemdptoolbox
Markov Decision Process (MDP) Toolbox for Python
AprilXiaoyanLiu/Java_React_Website
AprilXiaoyanLiu/ml-fairness-gym
AprilXiaoyanLiu/PATE
Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/1610.05755) [Work in Progress]
AprilXiaoyanLiu/Python-3-Object-Oriented-Programming-Third-Edition
Python 3 Object-Oriented Programming – Third Edition, published by Packt
AprilXiaoyanLiu/pytorch-dp
Training PyTorch models with differential privacy
AprilXiaoyanLiu/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
AprilXiaoyanLiu/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
AprilXiaoyanLiu/RecNN
Reinforced Recommendation toolkit build around pytorch 1.4
AprilXiaoyanLiu/SDGym
Benchmarking Synthetic data generation methods.
AprilXiaoyanLiu/spring-boot-react-fullstack
AprilXiaoyanLiu/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
AprilXiaoyanLiu/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
AprilXiaoyanLiu/TGAN
Generative adversarial training for synthesizing tabular data
AprilXiaoyanLiu/the-gan-zoo
A list of all named GANs!
AprilXiaoyanLiu/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.