tensor-sensor VS machine_learning_complete

Compare tensor-sensor vs machine_learning_complete and see what are their differences.

tensor-sensor

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai. (by parrt)
Numpy Pytorch Matrix Vector Debugging Tracing Deep Learning Python Tensorflow Jax
Source Code
github.com
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machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques. (by Nyandwi)
Machine Learning Deep Learning Data Science neural-networks Computer Vision NLP Tensorflow Keras scikit-learn Pandas Matplotlib Seaborn Python Numpy Data Analysis open-source Data Visualization Datascience
Source Code
nyandwi.com
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tensor-sensor machine_learning_complete
1 2
745 4,514
- -
1.8 5.9
about 2 years ago 8 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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tensor-sensor

Posts with mentions or reviews of tensor-sensor. We have used some of these posts to build our list of alternatives and similar projects.

machine_learning_complete

Posts with mentions or reviews of machine_learning_complete. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing tensor-sensor and machine_learning_complete you can also consider the following projects:

get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

uvadlc_notebooks - Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up

ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]

event-transcripts - transcripts from our recorded events

graphsignal-python - Graphsignal Tracer for Python

PtitPrince - python version of raincloud

etils - Collection of eclectic utils for python.

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

dynamax - State Space Models library in JAX

artificial-intelligence - AI projects in python, mostly Jupyter notebooks.

tensor-sensor vs get-started-with-JAX machine_learning_complete vs embedding-encoder tensor-sensor vs uvadlc_notebooks machine_learning_complete vs CardMap tensor-sensor vs ivy machine_learning_complete vs event-transcripts tensor-sensor vs graphsignal-python machine_learning_complete vs PtitPrince tensor-sensor vs etils machine_learning_complete vs Andrew-NG-Notes tensor-sensor vs dynamax machine_learning_complete vs artificial-intelligence