luc1a's Stars
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
elyase/awesome-gpt3
pprett/bolt
Bolt Online Learning Toolbox
alexhernandezgarcia/data-aug-invariance
A pipeline for flexibly training and evaluating neural networks for image object recognition with Keras. It allows analysing the effect of data augmentation and explicit regularisation methods, as well as training with data augmentation invariance
PacktPublishing/Python-Feature-Engineering-Cookbook
Python Feature Engineering Cookbook, published by Packt
Delgan/loguru
Python logging made (stupidly) simple
Qiskit/qiskit-tutorials
A collection of Jupyter notebooks showing how to use the Qiskit SDK
qiskit-community/qiskit-textbook
[ARCHIVED] A university quantum algorithms/computation course supplement based on Qiskit
GRAAL-Research/domain_adversarial_neural_network
Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
GRAAL-Research/Transductive-PAC-Bayes
PAC-Bayesian bounds computation related to "PAC-Bayesian Theory for Transductive Learning" (AISTATS 2014)
GRAAL-Research/domain_adaptation_of_linear_classifiers
Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573)
JuliaLang/julia
The Julia Programming Language
dirichletcal/experiments_neurips
Netflix/metaflow
Build, Manage and Deploy AI/ML Systems
fchollet/keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
johannesu/NASNet-keras
Keras implementation of NASNet-A
titu1994/Keras-NASNet
"NASNet" models in Keras 2.0+ with weights
lyst/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
microsoft/SandDance
Visually explore, understand, and present your data.