PinnedPublished inTowards Data ScienceDiffusion Probabilistic Models and Text-to-Image GenerationPhotorealistic Generation of Anything You Can Think ofMar 29, 2023Mar 29, 2023
PinnedPublished inTowards Data ScienceDINO-ViT — Beyond Self-Supervised ClassificationsDistill Fine-Grained Features Without SupervisionSep 23, 2022Sep 23, 2022
PinnedPublished inTowards Data ScienceWhat Is CLIP and Why Is It Becoming Viral?When a neural network uses so much data it becomes “universal”Aug 20, 20221Aug 20, 20221
PinnedPublished inTowards Data ScienceA Very Basic Overview of Neural Radiance Fields (NeRF)Can they one day replace photos?Jul 31, 2022Jul 31, 2022
PinnedPublished inTowards Data ScienceSupervised, Semi-Supervised, Unsupervised, and Self-Supervised LearningDemystifying each learning taskNov 25, 20212Nov 25, 20212
Published inTowards Data ScienceDeep Image Prior in PyTorchImage Denoising with No Data and a Random NetworkAug 10, 2022Aug 10, 2022
Published inGeek Culture5 Must-Do Error Analysis Before You Put Your Model in ProductionLook deeper into your deep modelsJun 20, 20221Jun 20, 20221
Published inTowards Data ScienceMust-Read Papers in Computer Vision for the 2020s *Updated*The frontier of deep learning techniques in computer visionJun 3, 2022Jun 3, 2022
Published inTowards Data ScienceCreate New Animals using DCGAN with PyTorchLearning features from wildlife to generate new creaturesMar 20, 2022Mar 20, 2022
Published inTowards Data ScienceContrastive Learning in 3 MinutesThe exponential progress of contrastive learning in self-supervised tasksJan 25, 2022Jan 25, 2022