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Code to generate simulations of stabilizing selection on complex traits in SLiM and process output data
Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models
Spatial Simulation of Tumor Growth
[ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
The PyTorch implementation of the GLF
This repository is the a re-implementation of Identifying through Flows for Recovering Latent Representations. With source code used from the official repository. This project was made for the repr…
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An open-access bioinformatics text
Fast and Efficient Tool to Simulate Summary Statistics from Genome-Wide Association Studies
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Stochastic simulation of next-generation sequencing data from neutrally evolving tumors
jupyter notebooks for the neural nets and differential equation paper
Simulation framework for microbial population dynamics (read related publication here: https://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2020.0053)
Two-locus selection moments (scripts to create figures in manuscript)
18.S096 - Applications of Scientific Machine Learning
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Numerical integration methods for mass-springs systems using PyTorch's autodiff
Python implementation of Annealed Importance Sampling algorithm
Hamiltonian Annealed Importance Sampling (HAIS) in tensorflow
PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model