|12 months ago||7 days ago|
|MIT License||Apache License 2.0|
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We haven't tracked posts mentioning neptune-contrib yet.
Tracking mentions began in Dec 2020.
A few (unordered) thoughts about data (1/2)
6 projects | dev.to | 5 Oct 2022
How to Build a Machine Learning Recommendation Engine w/ TensorFlow & HarperDB
3 projects | dev.to | 24 Aug 2022
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.
Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
8 projects | dev.to | 14 Aug 2022
Keras – An open-source software library that provides a Python interface to TensorFlow for artificial neural networks
There is framework for everything.
107 projects | reddit.com/r/ProgrammerHumor | 4 Aug 2022
How to build FPGA-based ML accelerator?
3 projects | reddit.com/r/FPGA | 6 Jul 2022
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.
Level up your Python today with open-source contributions
11 projects | dev.to | 25 May 2022
Read the contributing guidelines
2 projects | reddit.com/r/u_Animus_Vacui | 9 May 2022
Negative dimension size caused by subtracting 3 from 1 for 'Conv2D'
2 projects | reddit.com/r/codehunter | 27 Apr 2022
I'm using Keras with Tensorflow as backend , here is my code:
How to get reproducible results in keras
2 projects | reddit.com/r/codehunter | 13 Apr 2022
Install Keras (http://keras.io/)
20+ Free Tools & Resources for Machine Learning
5 projects | dev.to | 31 Mar 2022
Keras Keras is an API for neural networks that helps doing quick research.
What are some alternatives?
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
scikit-learn - scikit-learn: machine learning in Python
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
tensorflow - An Open Source Machine Learning Framework for Everyone
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
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
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]
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
skflow - Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
gensim - Topic Modelling for Humans