chengshifen Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-ai-cheatsheets

AI与数据科学各类工具库速查表与参考代码

awesome-deep-time-series-representations

A curated list of state-of-the-art papers on deep learning for universal representations of time series.

awesome-dynamicgraphlearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

awesome-explainable-ai

A collection of research materials on explainable AI/ML

awesome-gnn4ts

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

awesome-learn-from-model

Awesome Learn From Model Beyond Fine-Tuning: A Survey

awesome-mobility-machine-learning-contents

Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)

awesome-multimodal-urban-computing

awesome-pytorch-list

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

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

awesome-timeseries-spatiotemporal-lm-llm

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

awesome-xai

Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

basicts

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

beautiful-visualization-with-r

《R语言数据可视化之美》配套代码

bigscity-libcity

LibCity: An Open Library for Traffic Prediction

contrastive-learning-papers-codes

A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d-stknn-model

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70多个国家的500多所大学用于教学。

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep_learning_weather_forecasting

Deep Learning for Weather Forecasting, accepted applied data science of KDD 2019

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

dgl

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

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

dtreeviz

A python library for decision tree visualization and model interpretation.

easy-rl

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

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.