rhezab

assets

brain-tokyo-workshop

🧠🗼

Context-Dependent-Gating-Copy

Is a fork, just cloned and uploaded because wanted to fork another fork of this repo. Original repo:

Context-Dependent-Gating-RNN

Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units, in RNNs

grammar_vectors

Using PCA to visualise word embeddings, and hopefully surface the infamous "grammar vectors" (e.g. King - Man = Queen - Woman)

illinois-jobslink

Build Illinois Jobslink scraper, API, and front end for Illinois DHS.

lucid

A collection of infrastructure and tools for research in neural network interpretability.

nielsen.jl

Julia implementations of the neural nets described in Nielsen's Neural Networks and Deep Learning.

penkit

Tools for pen plotting in Python

post--differentiable-parameterizations

A powerful, under-explored tool for neural network visualizations and art.

rhezab/assets

rhezab/brain-tokyo-workshop

🧠🗼

rhezab/Context-Dependent-Gating-Copy

Is a fork, just cloned and uploaded because wanted to fork another fork of this repo. Original repo:

rhezab/Context-Dependent-Gating-RNN

Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units, in RNNs

rhezab/grammar_vectors

Using PCA to visualise word embeddings, and hopefully surface the infamous "grammar vectors" (e.g. King - Man = Queen - Woman)

rhezab/illinois-jobslink

Build Illinois Jobslink scraper, API, and front end for Illinois DHS.

rhezab/lucid

A collection of infrastructure and tools for research in neural network interpretability.

rhezab/nielsen.jl

Julia implementations of the neural nets described in Nielsen's Neural Networks and Deep Learning.

rhezab/penkit

Tools for pen plotting in Python

rhezab/post--differentiable-parameterizations

A powerful, under-explored tool for neural network visualizations and art.

rhezab/react-vis

Data-Visualization oriented components

rhezab/rhezab-notes

rhezab/rhezab.github.io

Rheza Budiono's blog.

rhezab/sentinews

rhezab/smile

a head-meltingly happy approach to online behavioral research

rhezab/ttic-31020-notes

Notes for the Autumn 2018 version of Introduction to Machine Learning (TTIC 31020) taught by Greg Shakhnarovich

rhezab/vae_experiments

Playing around with VAEs :)