openvino_notebooks
open_model_zoo
| openvino_notebooks | open_model_zoo | |
|---|---|---|
| 80 | 5 | |
| 2,003 | 3,962 | |
| 5.7% | 1.3% | |
| 9.9 | 8.6 | |
| 1 day ago | 11 days ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
openvino_notebooks
- FLaNK-AIM Weekly 06 May 2024
- FLaNK AI Weekly 18 March 2024
- FLaNK Stack Weekly 19 Feb 2024
- FLaNK Stack Weekly 12 February 2024
- FLaNK Stack 05 Feb 2024
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Optimum Intel OpenVino Performance
Also, credits for using zram in your VM setup; that's a smart hack for memory management. Have you tried tweaking other models like the ones in this OpenVINO notebook?
- FLaNK Stack Weekly 06 Nov 2023
- Trouvez-la plus vite
- Change your voice. FreeVC offers one-shot voice conversion, no text transcript required. Explore how OpenVINO powers AI solutions, see the code on GitHub.
- Vous aurez la banane
open_model_zoo
- FLaNK Stack Weekly 06 Nov 2023
-
[D] Is BERT going to be obsolete by ChatGPT?
Search engines and chatbots are rapidly advancing with the introduction of ChatGPT, but search engines are still running on models like BERT (Bidirectional Encoder Representations from Transformers) for question-answer functionality. An interesting OpenVINO jupyter notebook #213 demonstrating question-answer functionality with a SQuAD v1.1 training set trained BERT model and transformer functions using either an embedded paragraph or a link to a website. I find it still really compelling to see how this works, basically how our widely used search engines function though on a much bigger scale.
- computer vision with Intel integrated GPU
- student in desperate need of help/ guidance
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Openvino demos missing libraries
If not, below a github link https://github.com/openvinotoolkit/open_model_zoo/tree/master/demos/common/python
What are some alternatives?
chdb - chDB is an embedded OLAP SQL Engine 🚀 powered by ClickHouse
Face Recognition - The world's simplest facial recognition api for Python and the command line
deepeval - The LLM Evaluation Framework
deepstream-occupancy-analytics - This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.
super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
starcoder - Home of StarCoder: fine-tuning & inference!
pyvideotrans - Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言，并添加配音
netron - Visualizer for neural network, deep learning and machine learning models
tensorflow-open_nsfw - Tensorflow Implementation of Yahoo's Open NSFW Model
trieve - All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
gpt-llm-trainer