A game theoretic approach to explain the output of any machine learning model.

[NeurIPS 2022] Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Frontier Multimodal Foundation Models for Image and Video Understanding

Windows system utilities to maximize productivity

Interpret machine learning predictions using agnostic local feature importance based on Shapley Values.

🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…

An efficient video loader for deep learning with smart shuffling that's super easy to digest

【CVPR2024】Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification

Stanford NLP Python library for understanding and improving PyTorch models via interventions

[ECCV 2024 Oral] Code for paper: An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

A good looking terminal emulator which mimics the old cathode display...

Omnivore: A Single Model for Many Visual Modalities

Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"

Code + pre-trained models for the paper Keeping Your Eye on the Ball Trajectory Attention in Video Transformers

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Non-local Neural Networks for Video Classification

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

projectaria_tools is an C++/Python open-source toolkit to interact with Project Aria data

A jekyll theme inspired by linux consoles for hackers, developers and script kiddies.

COMSM0045 Applied Deep Learning Labsheets 2024

An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization

PySensors is a Python package for sparse sensor placement

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.