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code for CVPR2024 paper: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
(CVPR 2024) Bridging the Gap Between End-to-End and Two-Step Text Spotting.
[CVPR 2024] DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
Refine high-quality datasets and visual AI models
AMQP 0.9 client designed for asyncio and humans.
Simple, modern and fast file watching and code reload in Python.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
An NVIDIA Triton Server workflow for OCR and the LayoutLMv3 Transformer Model
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Supercharge your API testing, catch bugs, and ensure compliance
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
borb is a library for reading, creating and manipulating PDF files in python.
A GraphQL library for Python that leverages type annotations 🍓
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
NVIDIA GPU metrics exporter for Prometheus leveraging DCGM
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
The open-source database for the realtime web.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Handwritten text detection in document images using Detectron2
Detect handwritten words (neural network based).
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).