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yufengwhy's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-nas icon awesome-nas

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

baidutraffic icon baidutraffic

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

chemprop icon chemprop

Message Passing Neural Networks for Molecule Property Prediction

cs-notes icon cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deepctr-pytorch icon deepctr-pytorch

Easy-to-use,Modular and Extendible package of deep-learning based CTR models with PyTorch.

deepks-kit icon deepks-kit

a package for developing machine learning-based chemically accurate energy and density functional models

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepmd-kit icon deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

diffdock icon diffdock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

dream icon dream

rnn based model for recommendations

druggpt icon druggpt

DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins

e3nn icon e3nn

A modular framework for neural networks with Euclidean symmetry

funtier icon funtier

Funtier (Fun Frontier); Deepen My Fun & Extend Our Frontier; 加深乐趣,扩展边界;泛科普 generic science;欢迎在已有内容上重铸Encourage reforge based on the existing

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