Mahsa Mozaffari's repositories
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
av_hubert
A self-supervised learning framework for audio-visual speech
Awesome-LLMs-for-Video-Understanding
🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome-visual-question-answering
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
L1TuckerDecomposition
This repository contains alternating optimization algorithms for L1-norm tucker decomposition
BN-SVP
Contains source code for the CVPR2022 paper titled "Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection"
chaoli314
Config files for my GitHub profile.
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
CLIP-ViL
[ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383
ctf
Cyclops Tensor Framework: parallel arithmetic on multidimensional arrays
Deep3DFaceRecon_pytorch
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.
deeplearning-models
A collection of various deep learning architectures, models, and tips
imaginaire
NVIDIA's Deep Imagination Team's PyTorch Library
L0_regularization
Learning Sparse Neural Networks through L0 regularization
Mead
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation [ECCV2020]
MM-Diffusion
[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
SEED
Empowers LLMs with the ability to see and draw.
speechbrain
A PyTorch-based Speech Toolkit
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
talks-online
The IPython notebooks for my talks.
tensorly
TensorLy: Tensor Learning in Python.
tensortools
A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
uncertainty-metrics
Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Google and the open-source community.