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Top 23 Python Cuda Projects
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InfluxDB
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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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nvitop
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
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jittor
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
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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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TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
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viseron
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
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bazel-compile-commands-extractor
Goal: Enable awesome tooling for Bazel users of the C language family.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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
View on GitHub
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: 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...
Would it make sense to have a backend support for OpenXLA, Apache TVM, Jittor or other similar to get free GPU, TPU and other accelerators for free ?
Project mention: Benchmarking Large Language Models on NVIDIA H100 GPUs with CoreWeave (Part 1) | /r/nvidia | 2023-04-304090 now has its 8-bit float enabled as well, see the [transformer engine issue](https://github.com/NVIDIA/TransformerEngine/issues/15)
Project mention: Accelerating Stable Video Diffusion 3x Faster with OneDiff DeepCache and Int8 | news.ycombinator.com | 2024-01-29--output-video path/to/output_image.mp4
Run with ComfyUI
Run with OneDiff workflow: https://github.com/siliconflow/onediff/blob/main/onediff_com...
Run with OneDiff + DeepCache workflow: https://github.com/siliconflow/onediff/blob/main/onediff_com...
The use of Int8 can be referenced in the workflow: https://github.com/siliconflow/onediff/blob/main/onediff_com...
It feels like there's zero tooling for bazel, even the C++ solution for Bazel, which is what I use for C++ is kind of a hack as opposed to first-class support backed by Google, like the IntelliJ plugin. Am I missing something or is it just that just all the Java people at Google use IntelliJ so they don't invest into other options?
Website: https://savant-ai.io/
Project mention: Data visualisation and ray tracing in Python based on OptiX framework | news.ycombinator.com | 2023-07-05
Project mention: Looking for HLS frameworks to start deploying DL algorithms on FPGAs | /r/FPGA | 2023-06-20
Python Cuda related posts
- QualityScaler 2.11 - image/video AI upscaler app
- QualityScaler 2.11 - image/video AI upscaler app
- QualityScaler 2.11 - image/video AI upscaler app
- CuPy: NumPy and SciPy for GPU
- Show HN: Stella Nera – Maddness Hardware Accelerator
- Insanely Fast Whisper: Transcribe 300 minutes of audio in less than 98 seconds
- Progress on No-GIL CPython
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source Cuda projects in Python? This list will help you:
Project | Stars | |
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1 | Numba | 9,432 |
2 | cupy | 7,774 |
3 | catboost | 7,744 |
4 | cog | 7,088 |
5 | chainer | 5,862 |
6 | nvitop | 3,934 |
7 | jittor | 2,991 |
8 | TensorRT | 2,328 |
9 | PyCUDA | 1,746 |
10 | torchrec | 1,723 |
11 | QualityScaler | 1,719 |
12 | 3d-ken-burns | 1,496 |
13 | TransformerEngine | 1,428 |
14 | viseron | 1,388 |
15 | onediff | 1,194 |
16 | tsdf-fusion-python | 1,087 |
17 | pyopencl | 1,029 |
18 | scikit-cuda | 967 |
19 | caer | 749 |
20 | bazel-compile-commands-extractor | 587 |
21 | Savant | 481 |
22 | plotoptix | 474 |
23 | dace | 465 |
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