wang-haiyang

wang-haiyang's Stars

• UlionTse/mlgb

  MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

  Language:Python59726

• Doragd/Algorithm-Practice-in-Industry

  搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

  Language:Python2.8k342

• alipay/fin_domain_llm

  Implementation of the paper: WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine

  Language:Python811

• ant-research/EasyTemporalPointProcess

  EasyTPP: Towards Open Benchmarking Temporal Point Processes

  Language:Python26828

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11.1k2.9k

• MingchaoZhu/InterpretableMLBook

  《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

  4.9k691

• hosseinmoein/DataFrame

  C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

  Language:C++2.6k317

• geekcomputers/Python

  My Python Examples

  Language:Python32.2k12.3k

• ruanyf/free-books

  互联网上的免费书籍

  15k2.6k

• thunlp/PLMpapers

  Must-read Papers on pre-trained language models.

  3.3k436

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4.2k

• liyaguang/DCRNN

  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

  Language:Python1.2k403

• keras-team/keras-tuner

  A Hyperparameter Tuning Library for Keras

  Language:Python2.9k396

• dmlc/dgl

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

  Language:Python13.6k3k

• pbiecek/xai_resources

  Interesting resources related to XAI (Explainable Artificial Intelligence)

  Language:R819139

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k3.3k

• WillKoehrsen/feature-selector

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

  Language:Jupyter Notebook2.2k770

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k692

• graphhopper/open-traffic-collection

  Collection of open data resources for traffic information

  41048

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.6k2.8k

• sungyongs/graph-based-nn

  Graph Convolutional Networks (GCNs)

  912173

• vdumoulin/conv_arithmetic

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

  Language:TeX14.1k2.3k

• Eilene/spatio-temporal-paper-list

  Spatio-temporal modeling 论文列表（主要是graph convolution相关)

  525120

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k46.1k

• rob-med/awesome-TS-anomaly-detection

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

  3k454

• it-ebooks/w3school

  :books: W3School 教程整理

  1.3k523

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.2k2k

• FrancisArgnR/Time-series---deep-learning---state-of-the-art

  Scientific time series and deep learning state of the art

  28278

• XingxingHuang/deeplearning.ai

  The notes of Adrew Ng's coursera course: deeplearning.ai. Glad to answer any related questions, just email me.

  Language:CSS261128

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.8k6.1k