Landskape AI's repositories
triplet-attention
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Progressive-Pruning
Official pytorch code for "APP: Anytime Progressive Pruning" (DyNN @ ICML, 2022; CLL @ ACML, 2022, SNN @ ICML, 2022 and SlowDNN 2023)
Reprogram_LT
[arXiv] "Uncovering the Hidden Cost of Model Compression" by Diganta Misra, Agam Goyal, Bharat Runwal, and Pin-Yu Chen
ImageNet-Downsampled
Training code for downsampled ImageNet datasets
landskape-ai.github.io
Landskape AI Website
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
magma-moe
MAGMA - a GPT-style multimodal model that can understand any combination of images and language. NOTE: The freely available model from this repo is only a demo. For the latest multimodal and multilingual models from Aleph Alpha check out our website https://app.aleph-alpha.com
prompt_vectors
Editing Models with Prompt Arithmetic
TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
VMamba
VMamba: Visual State Space Models，code is based on mamba
DAP
ACL 2023 Dual-Alignment Pre-training for Cross-lingual Sentence Embedding