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📦 Manage your own internal Android App Store.
Instant neural graphics primitives: lightning fast NeRF and more
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
Riegeli/records is a file format for storing a sequence of string records, typically serialized protocol buffers.
A performant and modular runtime for TensorFlow
A vector tile, terrain and city 3d model builder and CLI exporter. Consider using its fully integrated user interface at https://halfmaps.io
IDE-style autocomplete for your existing terminal & shell
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Official Repository of ICCV2021 Paper, BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning
C++/CUDA/Python multimedia utilities for NVIDIA Jetson
Nvidia Semantic Segmentation monorepo
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)
An open-source C++ library developed and used at Facebook.
The fastai book, published as Jupyter Notebooks
Install the Arduino IDE on the NVIDIA Jetson Developer Kit.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
Blazing fast Neovim config providing solid defaults and a beautiful UI, enhancing your neovim experience.
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Deep Cosine Metric Learning for Person Re-identification
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators