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adapt-image-models

[ICLR'23] AIM: Adapting Image Models for Efficient Video Understanding

cannyedge

cast

cast.github.io

clip_ego4d

Contrastive Language-Image Pretraining

coda_video

cs231n_solution_2022

CS231n Assignment REf @ https://cs231n.github.io/

detectron2_object_detection

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

ego4d_compositional

This repo will help you to construct your experiments about Compositional action recognition using Ego4d dataset. Not their original Benchmark.

ego4d_lta_compositionalrecognition

Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset

epic_kitchens_annotations

fastgan-pytorch

Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021

few-shot-gan-adaptation

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

frozen_clip

label-free-cbm

A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

lavila

Code release for "Learning Video Representations from Large Language Models"

mae

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

my_videomae

myfirstgit

nia_attnet

nia_ns_vqa

part_shapley

pcb_rpp_for_reid

slowfast

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

slurm_multinode_ddp

This helps you to submit job with multinode & multgpu in Slurm in Torchrun

time

videomae

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

vit_cifar10

vita-clip

Official repository for "Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting" [CVPR 2023]

www

This is the official source code for CVPR 2024 paper [WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts]