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【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] 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 2022
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.
✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
Official electron build of draw.io
Extracts the historic word occurrence of a search term in academic papers
Visualize PyTorch tensors with a single line of code.
An app that allows you to AFK mine timed Twitch drops, with automatic drop claiming and channel switching.
A framework to learn Compressive Learning system with multidimensional data