Marc's repositories
DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
DrugP-PBPK-Model
Project With FDA
it-cert-automation-practice
Google IT Automation with Python Professional Certificate - Practice files
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
maxout-pytorch
notebook demonstrating a maxout net on MNIST
modelviz
Intuitive visualization of pharmacometric models' structure, parameters and uncertainty
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
nonconformist
Python implementation of the conformal prediction framework.
nonmem-notepad-
NONMEM 7.4 highlighter for Notepad++
NONMEM-project
Pharmacokinetics-pharmacodynamics population model building with NONMEM on amphetamine’s effect affecting release of dopamine
nonmem_cn
NONMEM Syntax highlighting
pmxploit
R package for post-processing analysis of NONMEM runs
PopPK
Use Python to run NONMEM to do population PK analysis
pyGPs
pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
SMILES-enumeration
SMILES enumeration for QSAR modelling using LSTM recurrent neural networks
smurff
Bayesian Factorization with Side Information in C++ with Python wrapper