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Top 17 Python Intel Projects
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optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
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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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intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
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scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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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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Xpedite
A non-sampling profiler purpose built to measure and optimize performance of C++ low latency/real time systems
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nvidia-optimus-manager
A python script to manage the status of NVIDIA graphics card on an Optimus setup for Solus linux
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Project mention: FastEmbed: Fast and Lightweight Embedding Generation for Text | dev.to | 2024-02-02Shout out to Huggingface's Optimum – which made it easier to quantize models.
Macbook Airs of that era ran Sandy Bridge processors, so, assuming apple didn't factory under volt them, you can usually get away with at least a 100 mV under volt, which would increase all core performance, extend turboboost time, and increase battery life.
OK I found it. Looks like they use SYCL (which for some reason they've rebranded to DPC++): https://github.com/intel/intel-extension-for-pytorch/tree/v2...
Can anyone suggest a good non-sampling profiler for low latency apps? The only one I can think of is https://github.com/morganstanley/Xpedite but it's not even clear that it is being maintained anymore.
when I started out, I used red hat, Suse linux, and then finally I jumped to Ubuntu, when they killed gnome and rolled out their new GUI later, I switched to Ubuntu Mate, with xfce alternatively installed. And then later came MINT. which is based on ubuntu anyway.
Project mention: Intel arc gpu price drop - inexpensive llama.cpp opencl inference accelerator? | /r/LocalLLaMA | 2023-05-26Llm fine tuning using Lora on intel dgpus : https://github.com/rahulunair/tiny_llm_finetuner
Python Intel related posts
- FastEmbed: Fast and Lightweight Embedding Generation for Text
- Efficient LLM inference solution on Intel GPU
- The Curious Case of MD5
- best Distro for Noob
- New monitor and VGA cable smudges/ghosting
- Watch out AMD: Intel Arc A580 could be the next great affordable GPU
- Reviving an old machine for gaming
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Index
What are some of the best open-source Intel projects in Python? This list will help you:
Project | Stars | |
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1 | optimum | 2,141 |
2 | QualityScaler | 1,719 |
3 | undervolt | 1,472 |
4 | intel-extension-for-pytorch | 1,327 |
5 | scikit-learn-intelex | 1,160 |
6 | inventory-hunter | 1,121 |
7 | RealScaler | 206 |
8 | Xpedite | 148 |
9 | NiceScaler | 117 |
10 | FluidFrames.RIFE | 112 |
11 | throttlestop | 110 |
12 | mate-optimus | 91 |
13 | dpnp | 90 |
14 | MISP-tools | 31 |
15 | nvidia-optimus-manager | 22 |
16 | tiny_llm_finetuner | 16 |
17 | iGPU-Node-Exporter | 9 |
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