Fanwang Meng's Projects
Python source code for 3D/MI/QSAR models
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
An R package to implement the adaptive knockoffs procedure
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Open source code for AlphaFold.
Declarative statistical visualization library for Python
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Examples of how to create colorful, annotated equations in Latex using Tikz.
Study materials for the PDBe API webinar series in September 2020.
Python package for the ASKCOS platform for prediction of chemical reactivity
Web application for the ASKCOS platform for prediction of chemical reactivity
XGBoost + Optuna
LSTM and QRNN Language Model Toolkit for PyTorch
Awesome Active Learning Paper List
Resources related to causality
An index of algorithms for learning causality with data
A curated list of resources for learning Gaussian Processes
JAX - A curated list of resources https://github.com/google/jax
Reading list for research topics in multimodal machine learning
A curated list of awesome Python frameworks, libraries, software and resources
Curated list of open-source quantum software projects.
Predictors for Blood-Brain Barrier Permeability with resampling strategies based on B3DB database.
A large benchmark dataset, Blood-Brain Barrier Database (B3DB), complied from 50 published resources.
Notebooks related to Bayesian methods for machine learning
A Python implementation of global optimization with gaussian processes.
Bayesian Data Analysis course at Aalto
Repository For graduate class (Practical introduction to Bioinformatics & Genomics). McMaster University
generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions.
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