The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

A Patch for GIMP 2.10+ for Photoshop Users

Web-scale retrieval for knowledge-intensive NLP

💩🚀 Windows 95 in Electron. Runs on macOS, Linux, and Windows.

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Visualizations for machine learning datasets

Website for Security and Privacy of Machine Learning

Code for the paper "Exploration by Random Network Distillation"

an unofficial implementation of BaRT Defense

Short Summaries for papers in Adversarial Attacks and Defenses. Linked to a related blog post:

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Keras Attention Layer (Luong and Bahdanau scores).

Layers Outputs and Gradients in Keras. Made easy.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"

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

Models built with TensorFlow

Example of "biological" learning for MNIST

Deep Learning for humans

Project Page

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

Code for Go-Explore: a New Approach for Hard-Exploration Problems

Train self-modifying neural networks with neuromodulated plasticity

Source Code for 'PyTorch Recipes' by Pradeepta Mishra

Modelling and Simulation for Optimal Look-ahead Time, using Python 3