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algorithmic-data

Algorithmic PyTorch datasets for training and evaluating neural computers.

architecture-diagrams

💎 A collection of lightweight React components and hooks to build diagrams with ease 💎

cajal

Toy computational graph library with automatic differentiation

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

expanding-res-net

generative-models

Small GAN and Pixel CNN implementations

henrysteinitz.github.io

hjs3

Personal Website

hopfield-nets

Hopfield networks and other auto-associators

linear-network-analysis

Measure implicit acceleration in deep linear networks

long-term-memory-in-ml-systems

lr_tensors

Optimization algorithm in which meta-learned learning rate tensors are pointwise multiplied by gradients to compute update steps.

med-parts

mnist-models

Classifiers and daydreamers trained on MNIST data

model-implementations

neura

Multilayer perceptron visualizer

neural-memory

Differentiable key-value memory modules. Includes holographic reduced representation.

neural-turing-machines

Implementation of https://arxiv.org/pdf/1410.5401.pdf in TensorFlow

noether-docs

noether-py

oceanplay

Minimalist music app in React / Rails

reset

simple-ml

soulpass

soulstream

taylor-generation

WIP, An experiment in projecting time series into the future by taylor approximation

trace

NN research library built on torch

water

A fully differentiable programming language. WIP

water_c

Embed abstract data structures in Euclidean space and automatically differentiate the maps between them. Work in progress.

website