einops VS 3d-ken-burns

Compare einops vs 3d-ken-burns and see what are their differences.

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others) (by arogozhnikov)

3d-ken-burns

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch (by sniklaus)
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einops 3d-ken-burns
20 6
8,180 1,513
- -
7.2 3.8
about 2 months ago 5 months ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

einops

Posts with mentions or reviews of einops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-06-16.

3d-ken-burns

Posts with mentions or reviews of 3d-ken-burns. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-17.

What are some alternatives?

When comparing einops and 3d-ken-burns you can also consider the following projects:

extending-jax - Extending JAX with custom C++ and CUDA code

stable-diffusion-rocm

opt_einsum - ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

cupy - NumPy & SciPy for GPU

kymatio - Wavelet scattering transforms in Python with GPU acceleration

halutmatmul - Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

XNOR-popcount-GEMM-PyTorch-CPU-CUDA - A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA

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.

pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

DeepBump - Normal & height maps generation from single pictures

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featured
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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