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I'm Rong

  • 👨‍💻 I'm a full-time Research Assistant at Hong Kong Baptist University.

  • 🔭 I’m currently working on applications of deep learning for moculelar generation and optimization.

  • 🌱 I’m currently learning deep generative models.

  • ❓ Ask me about Deep Learning and Drug Design.

  • 📧 How to reach me: [email protected] / [email protected]

  • 💼 Currently working in ChangSha 🇨🇳 and Hong Kong🇭🇰.

My Github

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Rong Qian's Projects

biopython icon biopython

Official git repository for Biopython (originally converted from CVS)

birnnmodal icon birnnmodal

Supporting code for the paper "Bidirectional Molecule Generation with Recurrent Neural Networks" (J. Chem. Inf. 2020, 60, 3).

deep-drug-coder icon deep-drug-coder

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

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

easy-rl icon 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/

ifp-rnn icon ifp-rnn

A molecule generative model used interaction fingerprint (docking pose) as constraints.

key-value-memnn icon key-value-memnn

“Key-Value Memory Networks for Directly Reading Documents”的tensorflow实现方案,使用的数据集是MovieQA

llmsurvey icon llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

machine-learning icon machine-learning

:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

ml-nlp icon 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。

promptpapers icon promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

syntalinker icon syntalinker

Automatic Fragment Linking with Deep Conditional Transformer Neural Networks

v2ray-core icon v2ray-core

A platform for building proxies to bypass network restrictions.

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