Trenton Bricken's repositories
PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
attention-approximates-sdm
Code for the paper "Attention Approximates Sparse Distributed Memory"
RewardConditionedUDRL
Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies
Upside-Down-Free-Energy
Free Energy Minimization
Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
learning-protein-landscapes
Using Boltzmann Generators for protein sequences
LearningConsensus
Using Deep Reinforcement Learning to Test and Create BFT Protocols
SparsityFromNoise
Noise Transforms Feed-Forward Networks into Sparse Coding Networks -- Source Code
TailFreeSampling
Method to sample from autoregressive models for open-ended sequence generation
emergent_symbols
Code for 'Emergent Symbols through Binding in External Memory'.
HDC-VSA_cookbook_tutorial
This codes presents examples of constructing primitives for data structures with Hyperdimensional Computing/Vector Symbolic Architectures
learning-warp-st
Learning to Warp for Style Transfer
pytorch-fid
Compute FID scores with PyTorch. Modified to run with existing dataloaders.
pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
ReinforcementLearning
Self-teaching RL
rl-inference
Reinforcement Learning through Active Inference
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
trentbrick.github.io
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