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QI FENG's Projects

aco-tdvrp icon aco-tdvrp

Ant Colony Optimization for Time-Dependent Vehicle Routing Problem written in Python

adn icon adn

A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior".

aesara icon aesara

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

ai-job-notes icon ai-job-notes

AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)

aiif icon aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alphatree-graphic-deep-neural-network icon alphatree-graphic-deep-neural-network

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱

ampligraph icon ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

awesome-fm4co icon awesome-fm4co

Recent research papers about Foundation Models for Combinatorial Optimization

awesome-kaldi icon awesome-kaldi

This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )

awesome-llm-rag icon awesome-llm-rag

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-python-cn icon awesome-python-cn

Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由伯乐在线持续更新。

awesome-traffic-prediction icon awesome-traffic-prediction

Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.

baidutraffic icon baidutraffic

This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

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