:articulated_lorry: Awesome CAN bus tools, hardware and resources for Cyber Security Researchers, Reverse Engineers, and Automotive Electronics Enthusiasts.
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:articulated_lorry: Awesome CAN bus tools, hardware and resources for Cyber Security Researchers, Reverse Engineers, and Automotive Electronics Enthusiasts.
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.
🚀 A curated and opinionated list of resources (English & Russian) for Backend developers | Структурированный список ресурсов для изучения Backend разработки
Gaussian Splatting visualization for Unity
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
Python Toolkit for Causal and Probabilistic Reasoning
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Vazirmatn is a Persian/Arabic font. وزیرمتن یک فونت فارسی/عربی است
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
KeyDecoder app lets you use your smartphone or tablet to decode your mechanical keys in seconds.
3D高斯论文,持续更新,欢迎交流讨论。
Siamese and triplet networks with online pair/triplet mining in PyTorch
WebGL 3D Gaussian Splat Viewer
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Three.js-based implementation of 3D Gaussian splatting
Project Lyra: Open Generative 3D World Models
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
The repository host gives no description.
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.