zhengying-liu

autodl_starting_kit_stable

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

autodl

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

autodl-contrib

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

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.

automl-workflow

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

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.

Kernel-Methods-Data-Challenge

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

rl-aic

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

project-optimization-data-science

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

auto-sklearn

autocv2-at-ecml2019

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

AutoDL-1

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

AutoDL-2

autonlp_starting_kit

competitions-v1-compute-worker

darts

Differentiable architecture search for convolutional and recurrent networks

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"

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

pyyaml

Canonical source repository for PyYAML

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.

tensorflow

An Open Source Machine Learning Framework for Everyone

tutorials

Some Lean tutorials