aprol

Adaptive prior selection for repertoire based adaptation in robotics

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-all-you-need-papers

A list of all "all you need" papers. Updated daily using the arXiv API.

awesome-red-teaming

List of Awesome Red Teaming Resources

babyagi

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

brain-tokyo-workshop

🧠🗼

colab-draggan-1

Unofficial implementation of the DragGAN paper

dcg-map-elites

Repository for MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy paper, introducing the Descriptor-Conditioned Gradients MAP-Elites algorithm.

demo

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

do-you-even-need-attention

Exploring whether attention is necessary for vision transformers

draggan

Code for DragGAN (SIGGRAPH 2023)

eda

Environment Decentralized Automation

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

expire-span-transformer-sequential-

Trains Transformer model variants. Data isn't shuffled between batches.

fast-transformers

Pytorch library for fast transformer implementations

fast-weight-transformers

Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.

gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

hands-on-session

hopfield-layers

Hopfield Networks is All You Need

image-transformers-vit-pytorch-

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

langchain

⚡ Building applications with LLMs through composability ⚡

longformer

Longformer: The Long-Document Transformer

map_elite

*Sferes2 experiment* MAP-Elites code for the experiments published in Cully et al. (2015), Nature.

map_elites_other

** Sferes2 module ** MAP-Elites module for Sferes2

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API