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Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
A real-time soft body simulation framework
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Tips for Writing a Research Paper using LaTeX
Real-time path tracing library and sample
This is a Chinese translation of the CUDA programming guide
We present the first open-source VR NERF Unity package that brings high resolution, low-latency, 6-DOF NERF rendering to VR. This work is based on Nvidia's ground breaking instant-ngp technique.
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
Blend Between Multiple Images in JupyterLab.
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Instant neural graphics primitives: lightning fast NeRF and more
A bag of tricks to speed up your deep learning process
A curated list of resources on implicit neural representations.
A curated list of awesome neural radiance fields papers
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
Merlion: A Machine Learning Framework for Time Series Intelligence