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- Summaries for exciting works in the field of Deep Learning.
- Developed a deep learning-based image steganography model using an autoencoder with integrated channel and spatial attention. Experimented with five configurations, finding that a parallel combination of both attention mechanisms provided the best balance between image quality and embedding accuracy.
unmasking-the-veil
PublicMachine_Unlearning
PublicSLIT
PublicGenZoo
PublicA repository providing implementations of generative models in various frameworks.AI_Art_Workshop_2023
PublicDL_Topics
PublicList of DL topics and resources essential for cracking interviewsSensorium-2022
PublicWorkshop-Spring-2022
PublicWorkshop_2021
Publicdeep_cache_replacement
PublicThe PyTorch codebase for -> DEAP Cache: Deep Eviction Admission and Prefetching for Cache.DL_Exploring
PublicBasic-Discussions
Publicworkshop_2020
Publicnewsletter
PublicA weekly list of interesting reads related to deep learning found by our group members!- Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge
ntm-pytorch
Publicdmn-plus
PublicA Pytorch tutorial for implementation of Dynamic memory Network Plus