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ailearning-theory-applying

快速上手Ai理论及应用实战：基础知识、ML、DL、NLP-BERT、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

datasets

Datasets used in Plotly examples and documentation

deep-eta-murat

Implementation of "Multi-task Representation Learning for Travel Time Estimation"

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

deepist

Image-based NN model for travel time estimation for paths in road networks

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepst

Reconstruction of DeepST

deeptte

design-resource

A list of design resources.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

emtte

EM based Travel Time Estimation

examples

Example deep learning projects that use wandb's features.

giscup2021

https://www.biendata.xyz/competition/didi-eta/

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

hello-world

This is my hello-world

heteta

HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/

metatte

Offical Repository for MetaTTE: a Meta-Learning Based Travel Time Estimation Model for Multi-city Scenarios

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml-project-ny-taxi-analysis-

A project wherein we estimate the travel time of a taxi given certain details about the trip.

nyceta

CMU 10-701 Final Project: 2017 NYC Taxi Travel Time Estimation

osrm-backend

Open Source Routing Machine - C++ backend

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pytorchtricks

Some tricks of pytorch... :star:

rl-ridesharing

Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning

sigspatial-2021-giscup-3rd-solution

sigspatial-2021-giscup-5th-solution

Continuously updating.....