PinnedTim ChenginTowards Data ScienceDiffusion Probabilistic Models and Text-to-Image GenerationPhotorealistic Generation of Anything You Can Think of·4 min read·Mar 29, 2023----
PinnedTim ChenginTowards Data ScienceDINO-ViT — Beyond Self-Supervised ClassificationsDistill Fine-Grained Features Without Supervision·4 min read·Sep 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”·4 min read·Aug 20, 2022--1--1
PinnedTim ChenginTowards Data ScienceA Very Basic Overview of Neural Radiance Fields (NeRF)Can they one day replace photos?·4 min read·Jul 31, 2022----
PinnedTim ChenginTowards Data ScienceSupervised, Semi-Supervised, Unsupervised, and Self-Supervised LearningDemystifying each learning task·6 min read·Nov 25, 2021--2--2
Tim ChenginTowards Data ScienceDeep Image Prior in PyTorchImage Denoising with No Data and a Random Network·4 min read·Aug 10, 2022----
Tim ChenginGeek Culture5 Must-Do Error Analysis Before You Put Your Model in ProductionLook deeper into your deep models·13 min read·Jun 20, 2022--1--1
Tim ChenginTowards Data ScienceMust-Read Papers in Computer Vision for the 2020s *Updated*The frontier of deep learning techniques in computer vision3 min read·Jun 3, 2022----
Tim ChenginTowards Data ScienceCreate New Animals using DCGAN with PyTorchLearning features from wildlife to generate new creatures·3 min read·Mar 20, 2022----
Tim ChenginTowards Data ScienceContrastive Learning in 3 MinutesThe exponential progress of contrastive learning in self-supervised tasks·3 min read·Jan 25, 2022----