taolicheng

echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser

google-research

Google Research

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

autogluon

Fast and Accurate ML in 3 Lines of Code

wuhan2020

新型冠状病毒防疫信息收集平台

chainer

A flexible framework of neural networks for deep learning

probability

Probabilistic reasoning and statistical analysis in TensorFlow

binderhub

Run your code in the cloud, with technology so advanced, it feels like magic!

DXY-COVID-19-Crawler

2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API

pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

TensorNetwork

A library for easy and efficient manipulation of tensor networks.

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

awesome-quantum-software

Curated list of open-source quantum software projects.

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

torchgpipe

A GPipe implementation in PyTorch

deq

[NeurIPS'19] Deep Equilibrium Models

InvariantRiskMinimization

PyTorch code to run synthetic experiments.

learning-to-reweight-examples

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

CADA-VAE-PyTorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

learning-to-reweight-examples

Code for paper "Learning to Reweight Examples for Robust Deep Learning"

iwae

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

cyclical_annealing

hypercl

Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.

masf

Domain Generalization via Model-Agnostic Learning of Semantic Features

pvae

code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

population_flow

Population flow data

DIP-VAE

An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar et al. (Published at ICLR 2018) https://arxiv.org/abs/1711.00848

HiggsTauTauNanoAODOutreachAnalysis

Analysis using reduced NanoAOD files created from CMS open data studying the decay of a Higgs boson into two tau leptons