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GersonHuang
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An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
一款轻量级、高性能、功能强大的内网穿透代理服务器。支持tcp、udp、socks5、http等几乎所有流量转发，可用来访问内网网站、本地支付接口调试、ssh访问、远程桌面，内网dns解析、内网socks5代理等等……，并带有功能强大的web管理端。a lightweight, high-performance, powerful intranet penetration proxy serv…
A unified evaluation framework for large language models
An efficient and consistent bundle adjustment for lidar mapping
Open Policy Agent (OPA) is an open source, general-purpose policy engine.
A high-performance observability data pipeline.
Tracking and collecting papers/projects/others related to Segment Anything.
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
A complete 3-D game development suite written in Java.
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
Implementation of RT1 (Robotic Transformer) in Pytorch
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Cloud native networking and network security
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Fast & Simple repository for pre-training and fine-tuning T5-style models
BARF: Bundle-Adjusting Neural Radiance Fields 🤮 (ICCV 2021 oral)
