kapitsa2811's repositories

BTTR

Official implementation for ICDAR 2021 paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"

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doctr

Document Text Recognition (DocTR) made seamless, high-performing & accessible to anyone using Deep Learning for OCR-related tasks.

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attentionocr-1

Attention OCR in Tensorflow 2.0

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AttentionOCR-2

Generates raw LaTex code of given PDF formula images using CV

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BMS-Molecular-Translation

Pipeline for chemical image-to-text competition

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chesscog

Determining chess game state from an image

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depth-distillation

[ECCV 2020] Defocus Blur Detection via Depth Distillation

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flexible-yolov5

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet) and (cbam)

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image-captioning-keras

Image captioning using Bahdanau and Luong attention applied on COCO and Flickr8k datasets. The performances have been measured using BLEU and METEOR scores.

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ISTR

ISTR: End-to-End Instance Segmentation with Transformers (https://arxiv.org/abs/2105.00637)

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keras

Deep Learning for humans

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LostGANs

Official implementation of our ICCV19 paper "Image Synthesis From Reconfigurable Layout and Style"

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lunch_and_learn

Determined's Lunch & Learn Series

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Modern-Computer-Vision-with-PyTorch

Modern Computer Vision with PyTorch, published by Packt

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nlp_notebooks

Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

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pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

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snowflake-connector-python

Snowflake Connector for Python

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Spatially-Varying-Blur-Detection-python

python implementation of the paper "Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes" - cvpr 2017

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Transformer-in-Vision

Recent Transformer-based CV and related works.

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vision-transformers-pytorch

Implementation of various Vision Transformers I found interesting

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Word-recognition-EmbedNet-CAB

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

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x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

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yet_another_pytorch_slot_attention

Reimplementation of Slot Attention (object discovery task) in PyTorch with converted checkpoint

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YOLO_tutorial

Interactive tool to learn how yolo algorithm work, used in yt tutorial.

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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