Omar280x

Omar280x's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k7.6k39.8k74.2k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python22.6k1564141.7k

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:Python18.3k1091.2k1.9k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python13.6k1151k1.2k

• VikParuchuri/surya

  OCR, layout analysis, reading order, line detection in 90+ languages

  Language:Python9.9k85131646

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.1k1364431.4k

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python8.9k565231.4k

• facebookresearch/nougat

  Implementation of Nougat Neural Optical Understanding for Academic Documents

  Language:Python8.8k63213561

• bitsandbytes-foundation/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python6.1k501k611

• pymupdf/PyMuPDF

  PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

  Language:Python5.2k602k496

• DepthAnything/Depth-Anything-V2

  Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python3.4k29154277

• deepdoctection/deepdoctection

  A Repo For Document AI

  Language:Python2.5k18180135

• huggingface/optimum

  🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

  Language:Python2.5k55739446

• onnx/tensorflow-onnx

  Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

  Language:Jupyter Notebook2.3k591k432

• prs-eth/Marigold

  [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

  Language:Python2.2k4195124

• microsoft/table-transformer

  Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

  Language:Python2.2k38141247

• xuebinqin/DIS

  This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

  Language:Jupyter Notebook2.2k91124258

• BAAI-Agents/Cradle

  The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

  Language:Python1.7k2231153

• X-LANCE/AniTalker

  [ACM MM 2024] This is the official code for "AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding"

  Language:Jupyter Notebook1.4k6433128

• NVlabs/RADIO

  Official repository for "AM-RADIO: Reduce All Domains Into One"

  Language:Python629253423

• poloclub/unitable

  UniTable: Towards a Unified Table Foundation Model

  Language:Jupyter Notebook34992924

• ymy-k/Hi-SAM

  [arXiv preprint] Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation

  Language:Python192121810

• z-mahmud22/Dlib_Windows_Python3.x

  Dlib compiled binary (.whl) for Python 3.7-3.12 and Windows x64

  1464330

• gastruc/osv5m

  Language:Python125829

• VicenteVivan/geo-clip

  This is an official PyTorch implementation of our NeurIPS 2023 paper "GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization"

  Language:Python12321521

• fcakyon/ultralyticsplus

  Huggingface utilities for Ultralytics/YOLOv8

  Language:Python772011

• scabini/RADAM

  We propose a new method named Random encoding of Aggregated Deep Activation Maps (RADAM) for feature extraction from pre-trained Deep CNNs. The technique consists of encoding the output at different depths of the CNN using a Randomized Autoencoder, producing a single image descriptor

  Language:Python32411

• deep-diver/segformer-tf-transformers

  This repository demonstrates how to use TensorFlow based SegFormer model in 🤗 transformers package.

  Language:Jupyter Notebook30444

• ahmedramadan96/EALPR

  A New Benchmark Dataset for Egyptian License Plate Detection and Recognition

  13202

• SAP-samples/clustertabnet

  Implementation of the table detection and table structure recognition deep learning model described in the paper "ClusterTabNet: Supervised clustering method for table detection and table structure recognition".

  Language:Jupyter Notebook7631