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bda_course_aalto

Bayesian Data Analysis course at Aalto

bioinformatics-assignment-1

assignment about sequence matching and waiting time

bioinformatics-lab-github-demo

carma

GWAS genetics Fine-mapping method

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

cfmr

Implementation of Cross-fitting for Mendelian Randomization

cibookex-r

Causal Inference: What If. R and Stata code for Exercises

drugcell

A visible neural network model for drug response prediction

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ldsc

LD Score Regression (LDSC)

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

pnet_prostate_paper

P-NET, Biologically informed deep neural network for prostate cancer classification and discovery

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pytorch-tutorial

PyTorch深度学习快速入门教程（绝对通俗易懂！）

rethinking

Statistical Rethinking course and book package

rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

scanpy-tutorials

Scanpy Tutorials.

scopen

scOpen: single-cell open chromatin analysis via NMF modelling

staarpipeline

An R package for performing association analysis of whole-genome/whole-exome sequencing (WGS/WES) studies using STAARpipeline

what-if

教材 Causal Inference: What if 的编译和解读！