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addons

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

ai

Personal AI Implementations

ai-for-cv-course-4th

anchor

Code for "High-Precision Model-Agnostic Explanations" paper

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

apue

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

augmentor

Image augmentation library in Python for machine learning.

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

autokeras

accessible AutoML for deep learning.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesopt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

bert

TensorFlow code and pre-trained models for BERT

bokeh

Interactive Web Plotting for Python

c

c-algorithms

A library of common data structures and algorithms written in C.

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

cave

civisml-extensions

scikit-learn-compatible estimators from Civis Analytics

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

darknet

Convolutional Neural Networks

dask-tutorial

Dask tutorial

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

data-struct

data-struct-implement

数据结构相关知识实现

data_science_delivered

Observations from Ian on successfully delivering data science products

deep-learning

Deep Learning Application Examples