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adaptive-memory-prediction-framework

Adaptive Memory Prediction Framework

agi

Research code & algorithms for artificial general intelligence.

aha

Artificial Hippocampus Algorithm

arc

The Abstraction and Reasoning Corpus

bilateral

Moved to bilateral-brain

bilateral-brain

bilateral-motor-control

A bilateral neural network that mimics dual hemispheres in humans, applied to motor control.

cerenaut-pt-core

Core components and utils for Cerenaut's PyTorch codebase.

cfsl

Continual few-shot learning

cortico-thalamic-circuit

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

experiment-definitions

Definitions of AGIEF experiments. All experiments can be repeated from these.

pagi

ProjectAGI's Tensorflow framework for building a selective memory system based on convolutional, hierarchical sparse autoencoder-like components.

preprocess-cifar

Preprocess CIFAR dataset, creating a set of images.

preprocess-mnist

Code to convert the native MNIST data format to PNG images.

preprocess-nist-sd19

Preprocessing for NIST Special Dataset 19 (uppercase single-character handwritten characters A..Z). Converts to same formatting as Yann Lecun MNIST (handwritten numerical digits 0..9), and produces a set of PNG images.

preprocess-svhn

Preprocess Google Street View House Number (SVHN) dataset, producing a set of PNG images.

pt-aha

AHA implemented in PyTorch. New features are being implemented here (not in the TF version).

rsm

Recurrent Sparse Memory

run-framework

Scripts used to run experiments using AGIEF.

sparse-unsupervised-capsules

Sparse unsupervised capsules

wmar

Model based RL, with world model and replay, for continual RL.