jepa VS openvino_notebooks

Compare jepa vs openvino_notebooks and see what are their differences.

jepa

PyTorch code and models for V-JEPA self-supervised learning from video. (by facebookresearch)

openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™ (by openvinotoolkit)
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jepa openvino_notebooks
1 80
2,445 2,041
3.6% 4.1%
7.0 9.9
8 days ago 2 days ago
Python Jupyter Notebook
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

jepa

Posts with mentions or reviews of jepa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-19.

openvino_notebooks

Posts with mentions or reviews of openvino_notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-06.

What are some alternatives?

When comparing jepa and openvino_notebooks you can also consider the following projects:

openvino-ai-plugins-gimp - GIMP AI plugins with OpenVINO Backend

chdb - chDB is an embedded OLAP SQL Engine 🚀 powered by ClickHouse

deepeval - The LLM Evaluation Framework

super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

starcoder - Home of StarCoder: fine-tuning & inference!

open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)

netron - Visualizer for neural network, deep learning and machine learning models

trieve - All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.

lst-bench - LST-Bench is a framework that allows users to run benchmarks specifically designed for evaluating Log-Structured Tables (LSTs) such as Delta Lake, Apache Hudi, and Apache Iceberg.

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...

ProPainter - [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

tailspin - 🌀 A log file highlighter