Trenton Bricken

PyTorchDiscreteFlows. Discrete Normalizing Flows implemented in PyTorch

attention-approximates-sdm. Code for the paper "Attention Approximates Sparse Distributed Memory"

SDMContinualLearner. Jupyter Notebook

RewardConditionedUDRL. Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies

SparsityFromNoise. Noise Transforms Feed-Forward Networks into Sparse Coding Networks -- Source Code

Upside-Down-Free-Energy. Free Energy Minimization

KellyBet. Optimal Betting for Stocks

tail-sampling. Jupyter Notebook

LearningConsensus. Using Deep Reinforcement Learning to Test and Create BFT Protocols

Continual-Learning-Benchmark. Evaluate three types of task shifting with popular continual learning algorithms.

TailFreeSampling. Method to sample from autoregressive models for open-ended sequence generation

learning-protein-landscapes. Using Boltzmann Generators for protein sequences

numerical-linear-algebra. Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

DeepSequence-PyTorch. Python

botkit-studio-sdk. Direct access to the Botkit Studio APIs

trentbrick.github.io. My Jekyll Blog