zhengying-liu Goto Github PK

auto-sklearn

autocv2-at-ecml2019

Website holding Discovery Challenges session for AutoCV2 Challenge @ ECML PKDD 2019

autodl

A machine learning competition in Automated Deep Learning (AutoDL), co-organized by ChaLearn, Google and 4Paradigm. Accepted at NeurIPS 2019.

autodl-1

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

autodl-2

autodl-contrib

Join us and be credited for AutoDL challenge - the next big thing in automated machine learning. Organized by Google, ChaLearn and 4Paradigm.

autodl_starting_kit_stable

Starting kit for AutoCV/AutoDL challenge (https://autodl.chalearn.org)

automl-workflow

An attempt for a universal AutoML workflow API design. Featured AutoDL challenge winning teams DeepWisdom and DeepBlueAI.

autonlp_starting_kit

axa-data-challenge-yellow

Project for the 2016 Data Challenge of Master Data Science of Paris-Saclay.

codalab-competitions

CodaLab Competitions

competitions-v1-compute-worker

darts

Differentiable architecture search for convolutional and recurrent networks

email-recipient-recommendation

The data challenge for the course "Advanced Machine Learning for Graph and Text" in the Master Data Science program of Université Paris-Saclay.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

formalabstracts

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

info232

This GitHub repository aims to share teaching resources for L2 students enrolled in the course INFO232 (mini-projet) at Université Paris Sud / Paris-Saclay.

kernel-methods-data-challenge

The data challenge for the course Kernel Methods for Machine Learning of the MVA program

lean-gptf

Interactive neural theorem proving in Lean

mlt

Code for the paper on Meta-Learning Theory (MLT)

mmverify.py

Metamath verifier in Python

models

Models and examples built with TensorFlow

multilabel-classification-datasets

A collection of dataset blobs for multi label classification

nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

project-optimization-data-science

The project of the course "Optimization for Data Science" with Chia-man and Salma.

pyyaml

Canonical source repository for PyYAML

rl-aic

A course I followed during my PhD on Reinforcement Learning in the AIC master program.

robo

RoBO: a Robust Bayesian Optimization framework

structured-data-project

The class project of the course "Structured Data - Learning, Prediction, Dependency, Testing" in the program Master Data Science of Université Paris-Saclay.