Pinned Repositories
awesome-single-cell
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
DAT4
General Assembly's Data Science course in Washington, DC
dynmethods
A collection of over 40 trajectory inference methods within a common interface
gnw
GeneNetWeaver (GNW) is an intuitive Java application developed for the generation of in silico benchmarks and the identification of systematic errors of network inference algorithms.
GPclust
Collapsed Variational Bayes
GPflow
Gaussian processes in TensorFlow
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
PseudoDE
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
sumonahmedUoM's Repositories
sumonahmedUoM/awesome-single-cell
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
sumonahmedUoM/bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
sumonahmedUoM/DAT4
General Assembly's Data Science course in Washington, DC
sumonahmedUoM/dynmethods
A collection of over 40 trajectory inference methods within a common interface
sumonahmedUoM/gnw
GeneNetWeaver (GNW) is an intuitive Java application developed for the generation of in silico benchmarks and the identification of systematic errors of network inference algorithms.
sumonahmedUoM/GPclust
Collapsed Variational Bayes
sumonahmedUoM/GPflow
Gaussian processes in TensorFlow
sumonahmedUoM/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
sumonahmedUoM/PseudoDE
sumonahmedUoM/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
sumonahmedUoM/scanpy
Single-Cell Analysis in Python. Scales to >1M cells.
sumonahmedUoM/scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
sumonahmedUoM/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
sumonahmedUoM/tGPLVM
tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data