scattering-compositional-learner

contrastive-learner

A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network

scalingscattering

cross-transformers-pytorch

Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch

graph-transformer-pytorch

Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

glom-pytorch

An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts fro...

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in ...

interferometric-graph-transform

This repository contains the code corresponding to the ICML-2020 publication: https://arxiv.org/a...

mm-cot

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tune...

g-mlp-pytorch

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

hourglass-transformer-pytorch

Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI

ponder-transformer

Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper

trainable_symmetry

Implementation of learnable generalized geometric scattering transforms on graphs

RQ-Transformer

Implementation of RQ Transformer, proposed in the paper "Autoregressive Image Generation using Re...

res-mlp-pytorch

Implementation of ResMLP, an all MLP solution to image classification, in Pytorch

deep-daze

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neu...