Nicholas-Kou

Nicholas-Kou's Stars

• astorfi/Deep-Learning-Roadmap

  :satellite: Organized Resources for Deep Learning Researchers and Developers

  Language:Python3.2k314

• instillai/deep-learning-roadmap

  :satellite: All You Need to Know About Deep Learning - A kick-starter

  Language:Python4.6k671

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.3k7.3k

• oxnr/awesome-bigdata

  A curated list of awesome big data frameworks, ressources and other awesomeness.

  13.2k2.6k

• google/tf-quant-finance

  High-performance TensorFlow library for quantitative finance.

  Language:Python4.5k574

• mmport80/QuantLib-with-Python-Blog-Examples

  Financial security modelling with Python and QuantLib

  Language:Python3316

• enthought/pyql

  Cython QuantLib wrappers

  Language:Cython1k196

• lballabio/QuantLib

  The QuantLib C++ library

  Language:C++5.4k1.8k

• werleycordeiro/Dynamic-Nelson-Siegel

  Dynamic Nelson-Siegel in two steps

  Language:Python67

• luphord/nelson_siegel_svensson

  Implementation of the Nelson-Siegel-Svensson interest rate curve model.

  Language:Python11141

• google/orchestra

  Advertising Data Lakes and Workflow Automation

  Language:Python4927

• aws-samples/aws-ml-data-lake-workshop

  As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using AWS SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference.

  Language:Python6136

• aws-samples/accelerated-data-lake

  A packaged Data Lake solution, that builds a highly functional Data Lake, with a data catalog queryable via Elasticsearch

  Language:Python7332

• Teradata/kylo

  Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc.

  Language:Java1.1k580

• Azure/azure-data-lake-store-python

  Microsoft Azure Data Lake Store Filesystem Library for Python

  Language:Python6970

• Azure/AzureDataLake

  Samples and Docs for Azure Data Lake Store and Analytics

  139105

• aws-solutions/aws-data-lake-solution

  A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically configures the core AWS services necessary to easily tag, search, share, and govern specific subsets of data across a business or with other external businesses.

  Language:JavaScript401160

• jindongwang/lihang-code

  《统计学习方法》的代码实现

  117

• jindongwang/MachineLearning

  一些关于机器学习的学习资料与研究介绍

  2k635

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.1k2.5k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.2k7.9k

• PaddlePaddle/ERNIE

  Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

  Language:Python6.3k1.3k

• google-research/text-to-text-transfer-transformer

  Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

  Language:Python6.2k755

• microsoft/malmo

  Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

  Language:Java4.1k600

• VowpalWabbit/vowpal_wabbit

  Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

  Language:C++8.5k1.9k

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k1.4k

• keras-team/keras-applications

  Reference implementations of popular deep learning models.

  Language:Python2k907

• fchollet/deep-learning-models

  Keras code and weights files for popular deep learning models.

  Language:Python7.3k2.5k

• wqw547243068/Python-learning

  好玩儿的Python：从数据挖掘到深度学习

  Language:Jupyter Notebook6227

• blyspyder/tf-fed-demo

  cifiar10 联邦学习

  Language:Python91