PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

High-resolution models for human tasks.

Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Modeling, training, eval, and inference code for OLMo

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

[ECCV 2024] Official implementation of the paper "TAPTR: Tracking Any Point with Transformers as Detection"

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

SPECTER: Document-level Representation Learning using Citation-informed Transformers

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

A citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.

Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

PaddleSlim is an open-source library for deep model compression and architecture search.

This repository contains a paper collection of the methods for document image processing, including appearance enhancement, deshadow, dewarping, deblur, and binarization.

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

UNet3+/ UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth

LLM101n: Let's build a Storyteller

Official implementation of SAM-Med2D

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

A modular graph-based Retrieval-Augmented Generation (RAG) system

cuDF - GPU DataFrame Library

Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything