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Top 23 Cuda Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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gocv
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
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nvitop
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
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Project mention: Hacking WiFi 101: basic concepts, terminology, and a real-life example | dev.to | 2024-04-03Hashcat Cracking WPA/WPA2 Spacehuhn's Deauther
Project mention: Amazon plans to charge for Alexa in June–unless internal conflict delays revamp | news.ycombinator.com | 2024-01-20Yeah, whisper is the closest thing we have, but even it requires more processing power than is present in most of these edge devices in order to feel smooth. I've started a voice interface project on a Raspberry Pi 4, and it takes about 3 seconds to produce a result. That's impressive, but not fast enough for Alexa.
From what I gather a Pi 5 can do it in 1.5 seconds, which is closer, so I suspect it's only a matter of time before we do have fully local STT running directly on speakers.
> Probably anathema to the space, but if the devices leaned into the ~five tasks people use them for (timers, weather, todo list?) could probably tighten up the AI models to be more accurate and/or resource efficient.
Yes, this is the approach taken by a lot of streaming STT systems, like Kaldi [0]. Rather than use a fully capable model, you train a specialized one that knows what kinds of things people are likely to say to it.
[0] http://kaldi-asr.org/
Project mention: Does anyone else agree that the links to the latest development version of Open3D don't work? | /r/cscareerquestions | 2023-07-10I was going to file a bug about another issue, but I have to download the development version. This is why I want this solved quickly. None of the links seem to work: https://github.com/isl-org/Open3D/issues/6259
Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code.
Project mention: CatBoost: Open-source gradient boosting library | news.ycombinator.com | 2024-03-05
Project mention: Open-source project ZLUDA lets CUDA apps run on AMD GPUs | news.ycombinator.com | 2024-03-05It now supports AMD GPUs since 3 weeks ago, check the latest commit at the repo:
https://github.com/vosen/ZLUDA
The article also mentions exactly this fact.
The interesting thing about Polars is that it does not try to be a drop-in replacement to pandas, like Dask, cuDF, or Modin, and instead has its own expressive API. Despite being a young project, it quickly got popular thanks to its easy installation process and its “lightning fast” performance.
View on GitHub
Project mention: Cylon: JavaScript framework for robotics, drones, and the Internet of Things | news.ycombinator.com | 2024-05-04
Project mention: ChaiNNer – Node/Graph based image processing and AI upscaling GUI | news.ycombinator.com | 2023-07-19There is already an AI framework named Chainer: https://github.com/chainer/chainer
Project mention: Optimization Techniques for GPU Programming [pdf] | news.ycombinator.com | 2023-08-09I would recommend the course from Oxford (https://people.maths.ox.ac.uk/gilesm/cuda/). Also explore the tutorial section of cutlass (https://github.com/NVIDIA/cutlass/blob/main/media/docs/cute/...) if you want to learn more about high performance gemm.
Project mention: Nvtop: Linux Task Monitor for Nvidia, AMD and Intel GPUs | news.ycombinator.com | 2024-03-12That's why the authors recommend pipx for installing nvitop. I am not a sysadmin, but I prefer pipx over relying on the (often outdated) distro sources.
https://github.com/XuehaiPan/nvitop?tab=readme-ov-file#insta...
Project mention: Porting HPC Applications to AMD Instinct MI300A Using Unified Memory and OpenMP | news.ycombinator.com | 2024-05-04>ROCm or HIP?
I'm not sure that's even the right question to ask. Afaik ROCm is the name of that entire tech stack and HIP is AMD's equivalent to CUDA C++ (they basically replicated the API and replaced every "CUDA" by "hip", they have functions called "hipmalloc" and "hipmemcpy").
The repository is located at https://github.com/ROCm/HIP.
Project mention: Show HN: Demo of Agent Based Model on GPU with CUDA and OpenGL (Windows/Linux) | news.ycombinator.com | 2023-12-04
Cuda related posts
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A 100x speedup with unsafe Python
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DCompute: Native execution of D on GPUs and other Accelerators
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Open-source project ZLUDA lets CUDA apps run on AMD GPUs
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Nvidia bans using translation layers for CUDA software
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Nvidia bans using translation layers for CUDA software to run on other chips
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Nvidia hits $2T valuation as AI frenzy grips Wall Street
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Optimization Example: Mandelbrot Set (part 1)
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Index
What are some of the best open-source Cuda projects? This list will help you:
Project | Stars | |
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1 | hashcat | 19,913 |
2 | instant-ngp | 15,388 |
3 | Kaldi Speech Recognition Toolkit | 13,735 |
4 | Open3D | 10,514 |
5 | Numba | 9,471 |
6 | cupy | 7,787 |
7 | catboost | 7,753 |
8 | ZLUDA | 7,671 |
9 | cudf | 7,291 |
10 | cog | 7,167 |
11 | gocv | 6,307 |
12 | chainer | 5,867 |
13 | oneflow | 5,726 |
14 | cuda-samples | 5,348 |
15 | GPU-Puzzles | 5,048 |
16 | cutlass | 4,597 |
17 | ArrayFire | 4,413 |
18 | nvitop | 3,991 |
19 | cuml | 3,926 |
20 | HIP | 3,462 |
21 | tiny-cuda-nn | 3,418 |
22 | alien | 3,365 |
23 | lightseq | 3,099 |
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