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Efficient Deep Learning Systems course materials (HSE, YSDA)
Benchmark Benchmark Benchmark!
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/m…
SwinIR: Image Restoration Using Swin Transformer (official repository)
It is a simple library to speed up CLIP inference up to 3x (K80 GPU)
This is a collection of our NAS and Vision Transformer work.
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова
Машинное обучение на ФКН ВШЭ
Practice of solving algorithmic problems
Official repository of ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
Official implementation of the Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT) | ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
Github mirror of M. Zinkevich's "Rules of Machine Learning" style guide, with extra goodness.
[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers
A playbook for systematically maximizing the performance of deep learning models.
microservice for image_text retrieval