bhoov

exbert

A Visual Analysis Tool to Explore Learned Representations in Transformers Models

hamux

Hierarchical Associative Memory User Experience

energy-transformer-jax

The Energy Transformer block, in JAX

spacyface

Align the token outputs from Spacy and Huggingface to help understand what language structures transformers see

flyvec

A biologically inspired method to create sparse, binary word vectors

barebones-hamux

Minimal library to construct Hierarchical Associative Memories (i.e., Super-powered Hopfield Networks). Research code designed to be easy to use.

JUNE-vis

Visualization for the JUNE epidemic and intervention simulation tool

ngd-vis

Understand the learning behavior of natural gradient descent vs SGD and other optimization methods

exformer

An Explorable Transformer. A lite version of exBERT

associative-memory-demo

Hopfield Networks are a powerful framework to view why machine learning is so effective. What is it about them that works so well?

amhn-neurips2023

awesome-neuro-ai-papers

Papers from the intersection of deep learning and neuroscience

bhoov

bhoov.github.io

Website redesign with SvelteKit

energy-transformer-torch

Official Implementation of Energy Transformer in PyTorch for Mask Image Reconstruction

Flybrain-NLP-Vis

Explore the word embeddings and concepts understood by a reprogrammed neural network of a fly

GeneralsBot

Teach an agent to play generals.io

HiddenMambaAttn

Official PyTorch Implementation of "The Hidden Attention of Mamba Models"

hopfield-playground

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

MusicPi

Hackathon 2018 Project for detecting faces on the raspberry pi

nbdev_template

Template for nbdev projects

NVAE

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

PaCMAP

PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

pytorch-image-models

TIMM for energy based models

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

sensitive-subspace-robustness

test-components

A way to test components locally

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

wiki

My wiki: minimal technical documentation to record (often hacky) solutions to technical problems I encounter.