Cuda Cuda

Open-source Cuda projects categorized as Cuda
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Topics: GPU Pytorch Nvidia CPP Machine Learning
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Top 16 Cuda Cuda Projects

  • instant-ngp

    Instant neural graphics primitives: lightning fast NeRF and more

    • Project mention: I want a 3d scanner... | /r/3Dprinting | 2023-07-08

  • cugraph

    cuGraph - RAPIDS Graph Analytics Library

    • Project mention: CuGraph – GPU-accelerated graph analytics | news.ycombinator.com | 2023-10-16

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • raft

    RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications. (by rapidsai)

    • Project mention: Raft: Fundamental widely-used algorithms and primitives for machine learning | news.ycombinator.com | 2024-02-22

  • MegBA

    MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

  • NATTEN

    Neighborhood Attention Extension. Bringing attention to a neighborhood near you!

    • Project mention: Direct Pixel-Space Megapixel Image Generation with Diffusion Models | news.ycombinator.com | 2024-01-23

    this arch is of course nice for high-resolution synthesis, but there's some other cool stuff worth mentioning..

    activations are small! so you can enjoy bigger batch sizes. this is due to the 4x patching we do on the ingress to the model, and the effectiveness of neighbourhood attention in joining patches at the seams.

    the model's inductive biases are pretty different than (for example) a convolutional UNet's. the innermost levels seem to train easily, so images can have good global coherence early in training.

    there's no convolutions! so you don't need to worry about artifacts stemming from convolution padding, or having canvas edge padding artifacts leak an implicit position bias.

    we can finally see what high-resolution diffusion outputs look like _without_ latents! personally I think current latent VAEs don't _really_ achieve the high resolutions they claim (otherwise fine details like text would survive a VAE roundtrip faithfully); it's common to see latent diffusion outputs with smudgy skin or blurry fur. what I'd like to see in the future of latent diffusion is to listen to the Emu paper and use more channels, or a less ambitious upsample.

    it's a transformer! so we can try applying to it everything we know about transformers, like sigma reparameterisation or multimodality. some tricks like masked training will require extra support in [NATTEN](https://github.com/SHI-Labs/NATTEN), but we're very happy with its featureset and performance so far.

    but honestly I'm most excited about the efficiency. there's too little work on making pretraining possible at GPU-poor scale. so I was very happy to see HDiT could succeed at small-scale tasks within the resources I had at home (you can get nice oxford flowers samples at 256x256px with half an hour on a 4090). I think with models that are better fits for the problem, perhaps we can get good results with smaller models. and I'd like to see big tech go that direction too!

    -Alex Birch

  • TorchPQ

    Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda

  • cuhnsw

    CUDA implementation of Hierarchical Navigable Small World Graph algorithm

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  • CudaSHA256

    Simple tool to calculate sha256 on GPU using Cuda

  • CUDA-Guide

    CUDA Guide

  • LSQR-CUDA

    This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.

  • Scalix

    Scalix is a data parallel compute library that automatically scales to the available compute resources.

  • gpu-desktop-calculator

    • Project mention: Show HN: GPU Desktop Calculator | news.ycombinator.com | 2023-12-03

  • repeater-max-cuda

    The CUDA version of the Repeater MAX. Repeats intentions up to 1.5+ EHz.

  • cuda-devcontainer

    CUDA Development Container

  • DOKSparse

    sparse DOK tensors on GPU, pytorch

    • Project mention: GDlog: A GPU-Accelerated Deductive Engine | news.ycombinator.com | 2023-12-03

  • FirstCollisionTimestepRarefiedGasSimulator

    This simulator computes all possible intersections for a very small timestep for a particle model

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Cuda Cuda related posts

Index

What are some of the best open-source Cuda projects in Cuda? This list will help you:

Project Stars
1 instant-ngp 15,329
2 cugraph 1,567
3 raft 608
4 MegBA 431
5 NATTEN 276
6 TorchPQ 202
7 cuhnsw 112
8 CudaSHA256 75
9 CUDA-Guide 45
10 LSQR-CUDA 12
11 Scalix 7
12 gpu-desktop-calculator 7
13 repeater-max-cuda 5
14 cuda-devcontainer 2
15 DOKSparse 2
16 FirstCollisionTimestepRarefiedGasSimulator 1

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