jysonganan Goto Github PK

ajschumacher.github.io

personal blog

autograd

Efficiently computes derivatives of numpy code.

bseqsc

Bulk-Sequence Single-Cell Gene Expression Deconvolution Pipeline

catniplab.github.io

Build a Jekyll blog in minutes, without touching the command line.

configuration_tips

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

deeplearningsurvival

PyTorch implementation of Deep Survival Models.

gaussian-processes

gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

hamiltonian-monte-carlo

Python implementations of Hamiltonian Monte Carlo samplers

hmmdmdv

R package: Hidden Markov Model for Bayesian Inference of large-scale mean and variance testing

hmmdmdv_study

methyldeconv

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

neuralodedynamicsts

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pynpb

Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

sagemaker-inference

scclust

Package: Segmentation and Clustering of Single Cell Sequencing Copy Number Profiles

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

xcell

Cell types enrichment analysis