Pinned Repositories
CSDN-CODE
个人CSDN博客 http://blog.csdn.net/dream_an 中涉及的源码
DP-ChemTS
A distributed framework based on Monte Carlo tree search for accelerating molecular discovery.
Hourly-traffic-volume-on-Minneapolis-I-94
Predicting hourly traffic volume between Minneapolis-St.Paul. Includes hourly weather features and holidays. Dataset contains data from 2012-2018
icml18-jtnn
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
islote.github.io
https://islote.github.io
MALA-HMC
Metropolis-adjusted Langevin algorithm and Hybrid (Hamiltionian) Monte Carlo
molecule-generation
Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation
multiobj-rationale
Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)
SLEPA
Self-Learning Entropic Population Annealing
weighted-retraining
islote's Repositories
islote/CSDN-CODE
个人CSDN博客 http://blog.csdn.net/dream_an 中涉及的源码
islote/DP-ChemTS
A distributed framework based on Monte Carlo tree search for accelerating molecular discovery.
islote/Hourly-traffic-volume-on-Minneapolis-I-94
Predicting hourly traffic volume between Minneapolis-St.Paul. Includes hourly weather features and holidays. Dataset contains data from 2012-2018
islote/icml18-jtnn
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
islote/islote.github.io
https://islote.github.io
islote/MALA-HMC
Metropolis-adjusted Langevin algorithm and Hybrid (Hamiltionian) Monte Carlo
islote/molecule-generation
Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation
islote/multiobj-rationale
Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)
islote/SLEPA
Self-Learning Entropic Population Annealing
islote/weighted-retraining
islote/Wrapper-Feature-Selection-Toolbox-Python
This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.