Stats
arogozhnikov/einops is an open source project licensed under MIT License which is an OSI approved license.
Einops Alternatives
Similar projects and alternatives to einops based on common topics and language
-
-
mars
Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and Python functions.
-
Scout APM
Scout APM - Leading-edge performance monitoring starting at $39/month. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
-
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
-
-
-
client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API. (by wandb)
-
Posts
-
[D] The math concept
This should get you back to a more intuitive understanding: https://github.com/arogozhnikov/einops It don't reshape/flatten/reduce without it now. I'd advise that you take the time to read and practice along the tutorial.