Reducing the temporal-difference learning theory of dopamine to a linear dynamical system
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discrepancy-based-active-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, ...
High-Resolution Image Synthesis with Latent Diffusion Models
Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
STATS 305B: Applied Statistics II. Models and Algorithms for Discrete Data.
Material for STATS271: Applied Bayesian Statistics (Spring 2021)
Machine Learning Methods for Neural Data Analysis
STATS320: Statistical Methods for Neural Data Analysis
Google Colaboratory Notebooks and Repositories (by @firmai)
Solving Inverse Physics Problems with Score Matching