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dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

dlink

Dinky is an out of the box one-stop real-time computing platform dedicated to the construction and practice of Unified Batch & Streaming and Unified Data Lake & Data Warehouse. Based on Apache Flink, Dinky provides the ability to connect many big data frameworks including OLAP and Data Lake.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

easyml

Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

eecs-491

Materials and projects for EECS 491 AI: Probablistic Graphical Models

effectivepytorch

PyTorch tutorials and best practices.

elitequant

A list of online resources for quantitative modeling, trading, portfolio management

elitequant_cpp

C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.

elitequant_python

Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.

examples

TensorFlow examples

exercise

exercise for nndl

faiss

A library for efficient similarity search and clustering of dense vectors.

fallout

Distributed System Testing as a Service

fe4ml-zh

:book: [译] 面向机器学习的特征工程

feature-engineering-made-easy

Feature Engineering Made Easy, published by Packt

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

flaml

A fast library for AutoML and tuning.

flinkx

基于flink的分布式数据同步工具

flower

Flower - A Friendly Federated Learning Framework

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

gorse

An open source recommender system service written in Go

gpu-cnn

Accelerate convolution neural network for face recognition using GPU

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

halide

a language for fast, portable data-parallel computation

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

hsuantienlin_machinelearning

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

iai

🎯 保姆级深度学习从入门到放弃 🤪 🤪

incubator-singa

Mirror of Apache Singa (Incubating)