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