MD-PhD @ McGill & Mila - Quebec AI Institute
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Pytorch implementation of convolutional neural network visualization techniques
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
A trainable PyTorch reproduction of AlphaFold 3.
Software Design by Example: a tool-based introduction with Python
Protein structure datasets for machine learning.
Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
StructureFlow: Simulation-free Structure Learning for Stochastic Dynamics