ZhensongQian

AI-metrics

An open source project to document AI progress through data.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

auto-sklearn

AutoML_Survey

autoweka

awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

awesome-machine-learning

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

awesome-TS-anomaly-detection

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

awesome_time_series_in_python

This curated list contains python packages for time series analysis

aws-big-data-blog

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

BERT-related-papers

BERT-related papers

dedupe

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

eng-practices

Google's Engineering Practices documentation

fossa-cli

Fast, portable and reliable dependency analysis for any codebase. Supports license reporting, large monoliths and 15+ build systems (go, npm, maven, gems, etc...).

GEM

GEM: Graph Embedding Methods

hivemall

Scalable machine learning library for Hive/Hadoop

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

nbviewer

nbconvert as a web service: Render Jupyter Notebooks as static web pages

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

spark-tsne

Distributed t-SNE via Apache Spark

tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

textdistance

Compute distance between sequences. 30+ algorithms, pure python implementation, common interface.

thisrepositorydoesnotexist

A curated list of awesome projects which use Machine Learning to generate synthetic content.

tsnejs

Implementation of t-SNE visualization algorithm in Javascript.