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Keras Alternatives
Similar projects and alternatives to Keras
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Data Platform where developers build real-time applications for analytics, IoT and cloud-native services in less time with less code.
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xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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Zigi
Delete the most useless function ever: context switching.. Zigi monitors Jira and GitHub updates, pings you when PRs need approval and lets you take fast actions - all directly from Slack! Plus it reduces cycle time by up to 75%.
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scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python
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Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
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llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
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pytorch-lightning
Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Keras alternative or higher similarity.
Keras reviews and mentions
Posts with mentions or reviews of Keras.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-30.
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65 Blog Posts to Learn Data Science
Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for anyone who is interested in using Deep Learning for text recognition in images but has no idea where to start.
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Инструменты Python. Библиотеки для анализа данных
- statsmodel (https://keras.io);
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Keras vs Tensorflow vs Pytorch for a Final year Project
E.g. If you consider it image classification (you already have the pedestrians extracted and just need to classify their intent), you might find that easier to do with Keras, just butcher one of the examples on keras.io. You might also find fast.ai more to your liking.
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A few (unordered) thoughts about data (1/2)
Keras
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How to Build a Machine Learning Recommendation Engine w/ TensorFlow & HarperDB
This is where machine learning takes over. Using libraries such as TensorFlow Recommenders with Keras models, it's easy to shape the data in ways that will allow the items and users to be viewed and compared in a multidimensional perspective. Qualitative features such as item categories and user profile attributes can be mapped into mathematical concepts that can be quantitatively compared with one another, ultimately providing new insights and better recommendations.
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Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
Keras – An open-source software library that provides a Python interface to TensorFlow for artificial neural networks
- There is framework for everything.
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How to build FPGA-based ML accelerator?
I would check out hls4ml. It's an open source project made by/for people at CERN to convert neural networks created in Python using QKeras (a quantization extension of Keras) into HLS, with Vivado HLS being the most well supported. There are some caveats though, and a fellow student and I have had trouble getting the generated HLS to match the Keras model and be feasible to synthesize, but it seems to work well for smaller neural networks.
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Level up your Python today with open-source contributions
Read the contributing guidelines
- Reciclaje 3.0
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A note from our sponsor - Zigi
www.zigi.ai | 4 Dec 2022
Stats
Basic Keras repo stats
60
56,758
9.7
4 days ago
keras-team/keras is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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