PinnedAlexey KravetsinTowards Data ScienceImproving CLIP performance in training-free manner with few-shot examplesPart 3 — a simple extension to zero-shot classification with Tip-Adapter.Jan 30Jan 30
PinnedAlexey KravetsinTowards Data ScienceSimple way of improving Zero-Shot CLIP performancePart 1 — Customized Prompts via Language models (CuPL)Nov 3, 2023Nov 3, 2023
PinnedAlexey KravetsinTowards Data ScienceDeep Dive into the LSTM-CRF ModelWith PyTorch codeOct 12, 2023Oct 12, 2023
PinnedAlexey KravetsinTowards Data ScienceA Deep Dive into the Code of the Visual Transformer (ViT) ModelBreaking down the HuggingFace ViT ImplementationAug 15, 20231Aug 15, 20231
PinnedAlexey KravetsinTowards Data ScienceA Deep Dive into the Code of the BERT ModelBreaking down the HuggingFace BERT ImplementationDec 14, 20212Dec 14, 20212
Alexey KravetsinTowards Data ScienceContinual Learning — A Deep Dive Into Elastic Weight Consolidation LossWith PyTorch ImplementationJul 2Jul 2
Alexey KravetsinTowards Data ScienceImproving performance and explainability of Zero-Shot CLIPPart 2 — Visual classification via Description from LLMsNov 25, 20231Nov 25, 20231
Alexey KravetsinTowards Data ScienceVariational Autoencoder (VAE) with Discrete Distribution using Gumbel SoftmaxTheory and PyTorch ImplementationAug 9, 20231Aug 9, 20231
Alexey KravetsinTowards AIStreamlining File Management: A Guide to Connecting and Modifying Files on a Server or a Docker…Clearly ExplainedAug 5, 2023Aug 5, 2023
Alexey KravetsinTowards Data ScienceMultiple GPU training in PyTorch and Gradient Accumulation as an alternative to itCode and TheoryJul 24, 2023Jul 24, 2023