tianyuzelin Goto Github PK

-arimax-

基于ARIMAX的多变量预测模型

a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

agbtcode

agfzb-cloudappdevelopment_capstone

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

airs

Artificial Intelligence for Science (AIRS)

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

ans-gt

Pytorch implementation of NeurIPS'22 paper "Hierarchical Graph Transformer with Adaptive Node Sampling"

apollo

An open autonomous driving platform

apollo-1

百度的自动驾驶平台Apollo项目-学习

arimax

Understanding ARIMAX modeling in Python.

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

autowarearchitectureproposal.proj

This is the source code of the feasibility study for Autoware architecture proposal.

awesome-ai-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-deep-graph-anomaly-detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors

awesome-graph-generation

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-knowledge-graph-reasoning

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-llm-kg

Awesome papers about unifying LLMs and KGs

awesome-nas

A curated list of neural architecture search (NAS) resources.

awesome-network-embedding

A curated list of network embedding techniques.

awesome-time-series

A comprehensive survey on the time series domains

awesome-ts-anomaly-detection

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

awesome_bigdata_ai_drugdiscovery

A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.

basicts

An Open Source Standard Time Series Forecasting Benchmark.

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch