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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks

ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization

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

Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

Development of CoralNet.

[NeurIPS'20] Multiscale Deep Equilibrium Models

Exploring Self-attention for Image Recognition, CVPR2020.

A pytorch port of google-research/google-research/robust_loss/

Reinforcement Learning in PyTorch

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

No dependency caffe replacement

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

Caffe2 is a lightweight, modular, and scalable deep learning framework.

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

The Arcade Learning Environment (ALE) -- a platform for AI research.

Caffe: a fast open framework for deep learning.

a language for fast, portable data-parallel computation

Time Order Judgement experiment apparatus for UMass Amherst NCaP laboratory

Homepage

An assortment of vision projects: computer, human, or otherwise.

Application to run and collect data for a social psychology cheating experiment

Measure heart rate from standard video recording (UMass CS 691A final project)

A collection of my dotfiles that might prove useful to others at some point.

Arsenal of python utilities.