PConv-Keras
BigDL
| PConv-Keras | BigDL | |
|---|---|---|
| 2 | 5 | |
| 893 | 5,957 | |
| - | 15.8% | |
| 0.0 | 9.9 | |
| about 1 year ago | 5 days ago | |
| Jupyter Notebook | Python | |
| MIT License | 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.
PConv-Keras
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Image inpainting using Keras?
Recently I came across Partial Convolutions for Image Inpainting using Keras and spent a few days playing with the Jupyter notebooks included in the repo. I tried hard to reverse engineer everything in an effort to learn, but my limited experience with deep learning neural networks left me unable to accomplish anything.
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[D] Anyone deploy DL models with AWS Lambda? Trying to estimate costs
https://www.fixmyphoto.ai/ has been deployed "on a serverless React application with AWS lambda functions handling inference" according to the github page.
BigDL
- PyTorch Library for Running LLM on Intel CPU and GPU
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LLaMA Now Goes Faster on CPUs
Any performance benchmark against intel's 'IPEX-LLM'[0] or others?
[0] - https://github.com/intel-analytics/ipex-llm
- BigDL-LLM: running LLM on your laptop using INT4
- Fast, distributed, secure AI for Big Data
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Machine learning on JVM
Intel BigDL for Spark which again is for Spark.
What are some alternatives?
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Axle - Axle Domain Specific Language for Scientific Cloud Computing and Visualization
Deep-Learning-With-TensorFlow - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.
Spire - Powerful new number types and numeric abstractions for Scala.
WeatherInterpolation - Simulating Sensor Error & Interpolating Gaps with Deep Learning
PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.