zhengying-liu Goto Github PK
Name: LIU Zhengying
Type: User
Company: Inria / U. Paris-Sud
Bio: PhD candidate in Deep Learning and AutoML
Location: Paris, France
Name: LIU Zhengying
Type: User
Company: Inria / U. Paris-Sud
Bio: PhD candidate in Deep Learning and AutoML
Location: Paris, France
Website holding Discovery Challenges session for AutoCV2 Challenge @ ECML PKDD 2019
A machine learning competition in Automated Deep Learning (AutoDL), co-organized by ChaLearn, Google and 4Paradigm. Accepted at NeurIPS 2019.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Join us and be credited for AutoDL challenge - the next big thing in automated machine learning. Organized by Google, ChaLearn and 4Paradigm.
Starting kit for AutoCV/AutoDL challenge (https://autodl.chalearn.org)
An attempt for a universal AutoML workflow API design. Featured AutoDL challenge winning teams DeepWisdom and DeepBlueAI.
Project for the 2016 Data Challenge of Master Data Science of Paris-Saclay.
CodaLab Competitions
Differentiable architecture search for convolutional and recurrent networks
The data challenge for the course "Advanced Machine Learning for Graph and Text" in the Master Data Science program of Université Paris-Saclay.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Code for the paper "Language Models are Unsupervised Multitask Learners"
This GitHub repository aims to share teaching resources for L2 students enrolled in the course INFO232 (mini-projet) at Université Paris Sud / Paris-Saclay.
The data challenge for the course Kernel Methods for Machine Learning of the MVA program
Interactive neural theorem proving in Lean
Code for the paper on Meta-Learning Theory (MLT)
Metamath verifier in Python
Models and examples built with TensorFlow
A collection of dataset blobs for multi label classification
NASBench: A Neural Architecture Search Dataset and Benchmark
The project of the course "Optimization for Data Science" with Chia-man and Salma.
Canonical source repository for PyYAML
A course I followed during my PhD on Reinforcement Learning in the AIC master program.
RoBO: a Robust Bayesian Optimization framework
The class project of the course "Structured Data - Learning, Prediction, Dependency, Testing" in the program Master Data Science of Université Paris-Saclay.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.