Łukasz Borchmann (Borchmann)

Borchmann

Geek Repo

Company:Snowflake

Location:Poznań, Poland

Home Page:https://borchmann.ai

Twitter:@LukaszBorchmann

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applicaai

Łukasz Borchmann's starred repositories

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Samsung-AI-Challenge-for-Scientific-Discovery

🥇Samsung AI Challenge 2021 1등 솔루션입니다🥇

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pyramidions

This repository contains a demonstrative implementation for pooling-based models, e.g., DeepPyramidion complementing our paper "Sparsifying Transformer Models with Trainable Representation Pooling."

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flamingo-pytorch

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

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idl_data

OCR Annotations from Amazon Textract for Industry Documents Library

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du-schema

JSON Schema format for storing datasets details, documents processed contents, and documents annotations in the document understanding domain.

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evaluator

The evaluator covering all of the metrics required by tasks within the DUE Benchmark.

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baselines

The code related to the baselines from NeurIPS 2021 paper "DUE: End-to-End Document Understanding Benchmark."

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doctr

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

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awesome-document-understanding

A curated list of resources for Document Understanding (DU) topic

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mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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routing-transformer

Fully featured implementation of Routing Transformer

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scattertext

Beautiful visualizations of how language differs among document types.

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successive-halving-topk

A fast and highly accurate differentiable Top-k operator from the "Successive Halving Top-k Operator" AAAI'21 paper.

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multi-property-extraction

The repository contains model implementations and data described in the paper: From Dataset Recycling to Multi-Property Extraction and Beyond.

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fast-transformers

Pytorch library for fast transformer implementations

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contract-discovery

Data and additional information regarding the paper: Contract Discovery. Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines (to appear in Findings of EMNLP).

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micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

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awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

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mercator

Inference of high-quality embeddings of complex networks into the hyperbolic disk.

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rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

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