danil31219as

danil31219as's Stars

• a-milenkin/Competitive_Data_Science

  Материалы по курсу анализу данных

  Language:Jupyter Notebook238112

• sb-ai-lab/LightAutoML

  Fast and customizable framework for automatic ML model creation (AutoML)

  Language:Python1.2k52

• ai-forever/sage

  SAGE: Spelling correction, corruption and evaluation for multiple languages

  Language:Jupyter Notebook12911

• Vadbeg/nafnet-coreml

  NAFNet deblurring model inference using CoreML

  Language:Python804

• danasone/ExperimentTransformer

  Language:Jupyter Notebook3

• danil31219as/rbk_hacksai

  Language:Jupyter Notebook133

• tinkoff-ai/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python1.1k126

• charlesdong1991/py-roughviz

  The Python implementation of JavaScript Library RoughViz to create interactive sketchy charts

  Language:Python885

• galprz/brain-tumor-segmentation

  Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task

  Language:Jupyter Notebook6920

• Technolog796/2nd-place-solution-NTO-AI-2022

  2nd place Solution for NTO AI 2022. Optical Character Recognition + Instance Segmentation for russian and english languages

  Language:Jupyter Notebook8

• a-milenkin/testovoe

  Home assignments for data science positions

  479

• cene555/ruCLIP-SB

  RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.

  Language:Jupyter Notebook113

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6k657

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.2k16.2k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.8k2.5k

• adast/TransResUNet

  Language:Jupyter Notebook4

• neverix/avengers-ensemble

  Golden Transformer (October 2021-December 2022 SOTA Russian SuperGLUE)

  Language:Python22

• ai-forever/digital_peter_aij2020

  Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01

  Language:Jupyter Notebook669

• lolpa1n/digital-peter-ocrv

  1st place (public LB) solution of AIJ2020 Sberbank competition (Digital Peter)

  Language:Python182

• BloodAxe/pytorch-toolbelt

  PyTorch extensions for fast R&D prototyping and Kaggle farming

  Language:Python1.5k120

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.8k2.6k

• ai-forever/DigiTeller

  186

• dodopizza/ai-pizza

  Language:Jupyter Notebook9212