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docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
The open-source repo for docs.github.com
🔒 A compiled checklist of 300+ tips for protecting digital security and privacy in 2024
Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.
An awesome Python wrapper for an awesome Docker CLI!
Official implementation for the paper: "Multi-label Classification with Partial Annotations using Class-aware Selective Loss"
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Bring projects, wikis, and teams together with AI. AppFlowy is an AI collaborative workspace where you achieve more without losing control of your data. The best open source alternative to Notion.
oh-my-ocr / PICK-pytorch
Forked from wenwenyu/PICK-pytorchCode for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
A PyPI package for fast word/character error rate (WER/CER) calculation
🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.
Reconstruct Arabic sentences to be used in applications that don't support Arabic
💀 Generate a bunch of malicious pdf files with phone-home functionality. Can be used with Burp Collaborator or Interact.sh
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
This is a sentence splitter for English and Arabic based on Stanford CoreNLP package.
A curated list of awesome projects and dev/design resources for supporting Arabic computational needs.
A tool for exploring each layer in a docker image
Identifying Mislabeled Instances inClassification Datasets